AI News, Argo AI hiring Lead Software Engineer, Jobs Platform in Palo Alto ... artificial intelligence

Senior Software Engineer, ML Systems in Pittsburgh, PA

Argo AI was founded to tackle one of the most challenging applications in computer science, robotics and artificial intelligence with self-driving vehicles.

Services team provides sensor log data, ground truth labels and accompanying platform and services, for training, testing and validating machine learning models, as well as any AV algorithms or systems that can benefit from accurate annotations.

Areas of ownership will include the full ML data management stack such developing pipelines for data preparation, building optimal model training systems, or building model evaluation systems.

Ask HN: Who is hiring? (August 2019) | Hacker News

https://www.nrec.ri.cmu.edu/careers/index.html The National Robotics Engineering Center (NREC), a robotics research and development powerhouse, is looking for experienced developers, especially in embedded systems, robotics, perception, deep learning, data science, and AI.

For more than 21 years NREC has brought together a critical mass of software and hardware engineers in order to take technology from the laboratory to the real world.

NREC maintains a diverse portfolio of projects, from Augmented Reality driver assistance to full off-road autonomy and from advanced teleoperation to full autonomous manipulation.

CVPR2019

Bachelors or Masters in computer science, engineering, physics or mathematics with specialization in computer vision, image science or machine learning areas At least 2-3 years of experience working with Machine Learning (Deep Learning).

Good understanding and working experience of various fundamentals and concepts of image processing, computer vision, and machine learning Strong grasp of deep Learning building blocks and architectures.

Experience with open-source computer vision and deep learning libraries such as OpenCV, Caffe, TensorFlow Familiarity with python a big plus Experience of an Agile environment Matlab knowledge is a strong plus Interests in augmented reality and rendering systems Strong technical communicator.

We have the ideas and we need your computer vision experience to make it a reality Create world-class computer vision products Work in a dynamic team that provides continuous opportunities for learning and growth Create 3D reconstruction algorithms and methods to automate the process of 3D modeling Automate various aspects of 3D modeling Research and Develop methods for extracting 3D data from 2D images Work closely with top-notch engineers from our 3D team Come up with innovative solutions for first-time problems

It is a truly exciting time for CGTrader, with the whole industry on the cusp of breakthrough - a very exciting time to join and become not only a part of it but a driving part of CGTrader’s continued success!

To maintain our position at the cutting edge of the industry, we are looking to leverage Artificial Intelligence combined with our vast database of 3D models for solving a challenge of automatically creating 3D models from 2D images.

Masters in computer science, engineering, physics or mathematics with specialization in computer vision, image science or machine learning areas;

It is a truly exciting time for CGTrader, with the whole industry on the cusp of breakthrough - a very exciting time to join and become not only a part of it but a driving part of CGTrader’s continued success!

Dr. Boult and his team at UCCS are seeking highly motivated postdoctoral researchers with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning.

Classic machine learning and AI make a closed-world assumption, leading to fragile systems that cannot label novel inputs as unknown nor handle novel variations in the world.

At the core of intelligence is the ability to recognize when we do not know something, analyze the need to learn about it, and then, when needed, to adapt and learn it – a process we call open-world learning.

We seek a candidate to join our multi-institution efforts exploring four main research directions: 1) Formalized models for open world learning with extreme-value theory, 2) Semi-supervised and unsupervised incremental learning 3) Open world learning for object classification and detection, and 4) Open world learning in visual observation of games.

Supporting testing, evaluation, and demonstration of new algorithms, and Collaborating with other engineers to optimize, debug, and improve algorithms on the target hardware platforms.

Designing new algorithm concepts that can be efficiently implemented in a heterogeneous computing platform, Maintaining awareness of the state-of-the-art in computer vision, and Presenting your work at international technical conferences.

passion for taking on new challenges and learning new skills to solve them Solid research background, preferably with publications

Solid understanding of one or more of the following: signal processing, image processing, computer vision, sensor fusion, structure from motion, numerical methods, optimization, knowledge graph, deep learning

Study the AI application algorithm and model realization of typical scenes, completed engineering projects and form AI application solutions.

Master's degree or above in automation, mathematics, artificial intelligence, computer vision, data mining or other related majors;

Have the theoretical system and algorithm system of a certain direction, such as image, video, NLP, familiar with machine learning, deep learning algorithm, and have the ability of AI application algorithm design;

At least one complete AI application project development experience, deep learning project experience is preferred;

Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred.

Research the application properties, characteristics and performance improvement methods of high performance computing.

Be familiar with relevant basic principles and calculation methods, and be able to use common application software on large-scale computing clusters, and get familiar with the less used applications quickly;

Deeply involved in AI calculation and reasoning platform, tested and optimized the platform performance;Quick mastery of the latest machine learning tools;

Cooperate with AI users to form typical scenarios and research topics of application performance optimization, so as to improve the efficiency of the platform from multiple levels.

Master's degree or above in automation, computer science and technology, artificial intelligence, machine learning and other related majors;

Familiar with Linux and shell programming, able to operate and use at least one deep learning framework (tensorflow, caffe, pytorch);

Experience in machine learning, data mining, deep learning and other data processing projects;

Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred.6.

(iii) Then send this single pdf file to: youcef.mezouar@sigma-clermont.fr, juan.corrales@sigma-clermont.fr and erol.ozgur@sigma-clermont.fr with [3D shape tracking application] as email subject.

Our team operates at the intersection of building highly scalable applications, analytics to understand data content and big data machine learning to improve the quality of the ecosystem.

You should join the Apple data platform team if you want to help deliver the next amazing Apple product.Key Qualifications Expertise and experience in various facets of machine learning, such as computer vision, classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking.

We will be using visual sensors (cameras and laser scanners) to automate condition assessment of building components, unmanned vehicles (ground and aerial) for automated visual data collection, and AR/VR/MR for bringing virtual and scanned (point clouds) objects into a virtual space to simulate and manage construction.

Candidates must possess a PhD in computer science or equivalent, with an exceptional track record of original research and passion to create high impact products.

Alibaba invites you to join our brand new AMAP research team, tasked for exploring and developing technologies to create a new future for mapping and navigation, examples including large-scale traffic estimation and simulation, real-time video analysis, localization, high-definition maps and assisted driving, as well as AR navigation and infotainment.

If you are an independent problem solver, have a strong drive to excel, with enormous passion in internet industry, and are looking for opportunities to make a big impact, this is the right place for you.

This 12 month postdoctoral research fellowship will explore self-supervised methods to learn computational models of creativity from large volumes of digital creative work.

The goal is to develop interact tools to help inspire digital artists in their workflows, and also to protect digital creative work against unauthorized use and/or fabrication (deep fakes/video re-write).

Until Compass, no one has achieved the blend of the Natural Intelligence that hundreds of thousands of enterprising real estate agents bring to this market, with the “Artificial Intelligence” that cloud, mobile and AI technologies enable.

As one of the fastest growing technology companies of our generation, in an industry larger than any other, we have an opportunity and obligation to build a world-class engineering team and the operating platform that will transform real estate.

Seattle’s vast talent pool and legacy of innovation make the city a perfect destination for our west coast team - come help craft the culture as we launch our new campus!

About the Role As an AI / Machine Learning Scientist at Compass, you will use your experience with state-of-the-art machine learning models and methods to improve every step of the real estate agent, buyer and seller experience at Compass.

Leveraging the data-rich features of the real estate industry, you will build technology that analyzes listings and other relevant geospatial features, observes user behavior, ingests financial transaction data and builds models that predict the needs of Compass stakeholders at every step of their real estate journey.

At Compass You Will: Build, develop and scale our machine learning capabilities that powers data science and AI features Be a domain expert on real estate technology and products and an empathetic partner to our customers Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies What We Look For: PhD in Computer Science, related technical field or equivalent practical experience.

Relevant work experience, including full time industry experience or as a researcher in a lab Ability to design and execute research and experimentation agenda

Until Compass, no one has achieved the blend of the Natural Intelligence that hundreds of thousands of enterprising real estate agents bring to this market, with the “Artificial Intelligence” that cloud, mobile and AI technologies enable.

As one of the fastest growing technology companies of our generation, in an industry larger than any other, we have an opportunity and obligation to build a world-class engineering team and the operating platform that will transform real estate.

Leveraging the data-rich features of the real estate industry, you will build technology that analyzes listings and other relevant geospatial features, observes user behavior, ingests financial transaction data and builds models that predict the needs of Compass stakeholders at every step of their real estate journey.

At Compass You Will: Build, develop and scale our machine learning infrastructure that powers data science and AI features Be a domain expert on real estate technology and products and an empathetic partner to our customers Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies What We Look For: BA/BS in Computer Science, related technical field or equivalent practical experience.

AWS) and data pipelines Familiarity with containerization, microservices architecture, continuous integration and delivery (CI/CD) Experience with products throughout their life cycles, from idea conception to product release and maintenance Experience in platform and infrastructure development in supporting machine learning applications in one or more of the following areas: Search, RecSys, Natural Language Processing (NLP), Computer Vision (CV), Optimization, Time Series Forecasting and Data Mining.

Description of the job: Heidelberg Engineering provides diagnostic solutions that empower clinicians to improve patient care in ophthalmology and impact the lives of millions of people.

The growing product portfolio combines advanced hardware (such as optical coherence tomography and confocal microscopy) with powerful software (real- time image processing, visualization and medical records management).

This is an exciting opportunity to join our fresh AI team based in beautiful Heidelberg, Germany and to help revolutionizing the field of ophthalmology with machine learning.

**Your responsibilities**: ##) Research, implement and evaluate machine learning-based features for our medical imaging systems, such as: i) Smart image acquisition, enhancement and registration, ii) Automated extraction of diagnostic features (segmentation, localization), iii) Integration with multi-modal patient data, including electronic health records, for computer-supported diagnosis, disease progression and treatment planning.

**Your qualifications**: $$) University degree (PhD preferred) in computer science, mathematics, physics or a related subject.

$$) Sound knowledge and extensive practical/research experience with state-of-the-art computer vision and machine learning methods (particularly deep learning), ideally supported by academic publications or open-source projects.

$$) Strong coding skills in Python and a deep learning framework (ideally PyTorch), as well as C++.

$$) Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics.

$$) Bonus points: Recent industrial experience in ML/AI and healthcare, computational photography, experience in dataset curation, deployment and/or regulatory affairs.

We are a nationally recognized leader in research areas including data analytics, sensors and signal processing, electronic warfare, cyber, video and image understanding, command and control, and precision navigation.

We are looking for talented researchers to help design and implement innovative computer vision algorithms for solving challenging scene understanding problems.

Seeking applicants with PhD or MS degree with relevant experience in computer science, electrical engineering, applied mathematics or related technical discipline;

We are looking for candidates that are motivated to solve key imaging and computer vision problems that will enable robust robotics and sensing in adverse scenarios in the wild.

We believe at interdisciplinary research at Algolux and candidates will be working with a diverse team of imaging, computer vision, optimization, physics, and optics experts.

Track record of relevant publications in top-tier conferences and journals (ICCV, CVPR, ICML, SIGGRAPH, NeurIPS, etc.) and/or significant industry experience working as a member of a camera/vision research team.

We seek a candidate to join our efforts exploring three main research directions: 1) extract information from large scale image collections and integrate it with other data modalities.

2) develop reinforcement learning and metalearning solutions to assist biologists analyze data collections and drive biological discovery.

The Broad Institute of MIT and Harvard is at the forefront of biological research worldwide, making fundamental contributions to the human genome project 15 years ago, and more recently, discovering gene editing methodologies to cure disease.

The vast amount of biological data collected by the Institute demands novel statistical and machine learning models to extract, analyze and integrate information automatically.

and research experience in machine learning or related field 3+ years of experience or knowledge equivalent with a strong CS and ML foundation.

firm grip on programming fundamentals Intimate familiarity with Python and its data analysis tools Ability to think and lead projects independently, come up with new ideas and research on them As a Machine Learning Research Scientist, you will: Build machine learning models using financial and other data modalities Design and collaborate with the engineering team to get macine learning models production ready Analyze machine learning models and data Devise new research methods to solve bleeding edge problems

SMT, with divisions in Durham, NC, Fremont, CA, and Jacksonville, FL, is the leading innovator in real-time data delivery and graphics solutions for the sports and entertainment industries, providing clients with scoring, statistics, virtual insertion and messaging for broadcasts and live events.

SMT’s solutions have been used at the world’s most prestigious live events, including the Super Bowl and NBC Sunday Night Football, all major pro golf and tennis events, the Indianapolis 500, the NCAA Tournament, ESPN X Games, NBA on TNT, NASCAR events and NHL games.

SMT’s clients include major broadcasters as well as regional and specialty networks, leagues, organizing bodies, event operators, sponsors and teams.

The Computer Vision/Software Engineer participates in the development of software and systems with an emphasis on computer vision, object tracking, 3D modeling, camera modeling, and related graphics rendering to support current and future SMT products and technologies.

The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on pattern recognition, machine learning, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others.

The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and/or bioinformatics.

Candidates must also show evidence of research productivity (e.g., papers, patents, presentations, etc.), and have the ability to implement computer algorithms.

Apply online at https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Research-Associate_R0006136 and attach a cover letter, curriculum vitae, statement of research interest, and contact information for three professional references.

The positions will offer excellent opportunities to work in a team of professionals responsible for developing cutting edge computer vision and machine learning technology, and allows you to learn many aspects from fundamental research problems to concrete applications.

Visual maps are a powerful tool for encoding and understanding the geometry and semantics of the world, which is a key component of safe and efficient autonomous driving.

This newly formed team will be responsible for developing new experimental solutions that combine the latest findings in cutting-edge computer vision, machine learning and large-scale data processing to advance the capabilities of our existing systems and to advance the state-of-the-art of the field.

machine learning solutions Identify bottlenecks in existing algorithms and systems Develop case studies and experimentally validate hypotheses Work with AV engineering teams in productionizing systems Advance the state-of-the-art, publish and represent Level 5 at top-tier conferences (e.g.

CVPR, NIPS, ICCV, RSS, ICRA) Programming experience in implementing prototypes of new cutting-edge solutions using Python, C++ or Matlab Expertise and hands-on experience in one or more of the following areas: Neural Networks Graphical models SLAM Generative models Parametric model fitting Bayesian modelling (Inverse) Reinforcement learning Continuous optimisation 3D computer vision

We are looking for a data scientist with initiative, strong problem solving, design, coding, and debugging skills to help us deliver high-quality machine learning models and solutions for oil and gas customers.

You will partner with program management and Azure engineering teams to help drive the successful adoption of Azure in some of our largest accounts and will drive product changes and gap closure with the various product teams across the organization.

You will work on all aspects of the design, development and delivery of machine learning and deep learning solutions, including problem definition, data acquisition, exploration, training, testing and evaluating deep learning models, and creating end-to-end pipelines and solutions in production.

Masters or PhD with 1-2 year of industry experience in machine learning or deep learning Excellent verbal and written communication skills Proficiency in Python Familiarity with a version control system.

Outstanding communication and collaboration skills Very strong research, theory and algorithm background with the ability to apply advanced knowledge on real challenges.

gas PhD /MS/BS degree in Electrical Engineering, Computer Science or an equivalent technical field Experience in any of the deep learning frameworks (PyTorch, TensorFlow) System-level knowledge of deep learning (such as GPU or FPGA implementations) a plus Strong software development skills in one or more high level languages (C/C++/Java/C#) and one or more scripting languages (Python/R/javascript) Publications in related fields (deep learning, machine intelligence, data mining, etc.) preferred Experience building production grade machine learning enabled solutions end to end.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

This pipeline is built to ingest, fuse, compress, and analyze massive amounts of vehicle-mounted sensor data quickly and cost-effectively.

Strong background in Computer Vision, Machine Learning, and Image/Video Processing (detection, tracking, classification, online learning, active learning, deep learning, event analysis, etc.)

Experience in writing proposal and winning grants

Experience programming and developing on GPUs or other embedded systems

Biomedical signal processing, clinical decision-support systems and data mining

UC offers a challenging and exciting environment to conduct R&D on high-risk high-reward technologies with the potential of bringing in transformational changes to state-of-the-art.

UC is currently seeking a Machine Learning (ML) / Artificial Intelligence (AI) Scientist to support a diverse range of programs including: collaborative UAV navigation, scene understanding and activity/event analysis in video tracks, situated and collaborative agent theories, object detection from SONAR images, taxonomy classification, medical diagnostics and training, and many problems in computer vision-aided detection, tracking and classification.

The candidate must have strong writing and communication skills and will be expected to participate in as well as lead efforts to procure funding through grant proposals.

PhD/Post-Doc in computer science or electrical engineering with a focus on ML &

Deep and diverse knowledge of AI concepts and variety of ML regimes, including deep learning

Strong fundamentals in mathematics, statistics, probability theory, algorithms

Experience with big data algorithms and systems

Theoretical background in convolutional neural networks and experience with tensorflow

Experience with developing agents with cognitive and affective/emotional capabilities

Prior experience in executing R&D projects and software design and development

Prior experience in writing research grants

Experience with algorithm parallelization, GPUs, and/or embedded systems development is a plus

Biomedical signal processing, clinical decision-support systems and data mining

Applicants should have i) experience and strong interest in at least one of the following research fields: computer vision (3D vision, vision and language, human sensing), machine learning (domain adaptation, meta learning, reinforcement learning), and robotics (robotic skill learning, soft robotics, learning manipulation, task planning);

Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using 8-bit non-volatile memory arrays which has been under development since 2012.

This step change in performance brings in a range of new applications in a broad array of verticals, including safety and security, autonomous vehicles, VR/AR, robotics and media.

We strongly prefer at least one of the following: a research record, expert knowledge in some compiler or compile related domain, contributions to an open source infrastructure, experience retargeting LLVM, GCC or some other retargetable compiler infrastructure, linear algebra compilers, experience with a compiler related technology (profiling, static analysis,..), compiling to hardware.

For example, you might have a master's degree with compiler and algorithms course, implemented and you have spent several years at a job developing the IR of custom compiler.

The DNN Co-design team works with Mythic's product, deep learning, compiler, and hardware teams to build software tools and pipelines to help our customers bring high-performance neural network AI solutions to market on Mythic hardware.

We are looking for engineers with strong production programming, debugging and maintenance skills with experience shipping and maintaining software product.

A deep learning background is not necessary, but experience with robust software development practices and the ability to create solutions for challenging technical problems is a must.

This position is ideal for an experienced software engineer who wishes to learn more about deep learning applications and be responsible for shipping and maintaining Mythic's core software tools.

The engineer will work with Tensorflow, ONNX, Keras, Pytorch and other common deep learning frameworks, as well as the Mythic's compiler, simulator, and firmware tools to assemble a reliable, easy-to-use software solution for customers.

Co-design engineers need strong programming skills in Python, familiarity with C/C++, experience with continuous integration, deployment and maintenance of software packages, and experience working on customer-related issues.

The position is open to strong individual contributors with advanced programming experience as well as hands-on managers/leads who can function as an individual contributor while growing a team from scratch.

As an individual contributor, you can expect to develop your skills and experience in deep learning production systems and work independently and autonomously on a world-class product.

As a manager/lead, you can expect to build a top-notch team, receive additional training, and take responsibility for delivering and maintaining Mythic's core software product.

Keep abreast of developments in machine learning and data analytics, through research into new trends, as well as occasional travel to appropriate conferences and meetings.

Engage with product and engineering teams to understand the needs for new data-driven features and capabilities in future products, and work to deliver reusable software to meet these needs.

Work as needed with broad group of people (internal engineering, internal product and design teams, external customers, standards organizations, etc.) to both understand industry and product direction, and to articulate the vision Poly has for leveraging data and machine learning for our products in the marketplace.5+ years’ experience in building user-focused applications or products leveraging user data to provide an enhanced experience.

The successful candidate will work with the team adding advanced computer vision and deep learning capabilities to Poly’s video and audio offerings.

You will design, implement, ship, and support modules offering enhanced vision and learning capabilities for use in products across the Poly product portfolio.

Keep abreast of developments in machine learning and computer vision, through research into new trends, as well as occasional travel to appropriate conferences and meetings.

Engage with product and engineering teams to understand the needs for vision and learning technology in future products, and work to deliver reusable software to provide this capability.

Work as needed with broad group of people (internal engineering, internal product and design teams, external customers, standards organizations, etc.) to both understand industry and product direction, and to articulate the vision Poly has for machine learning and computer vision in the marketplace.

Qualifications: 5+ years developing video and/or learning related products.2+ years’ experience in bringing deep learning technologies to product, including RNN/CNN technologies.

Domain knowledge of video codec technology, cameras, or audio processing a strong plus.Bachelor’s degree in computer science, a related engineering discipline, mathematics, physics or similar area required.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, sexual orientation or on the basis of disability.

We are looking for candidates that are motivated to solve key imaging and computer vision problems that will enable robust robotics and sensing in adverse scenarios in the wild.

We believe at interdisciplinary research at Algolux and candidates will be working with a diverse team of imaging, computer vision, optimization, physics, and optics experts.

Track record of relevant publications in top-tier conferences and journals (ICCV, CVPR, ICML, SIGGRAPH, NeurIPS, etc.) and/or significant industry experience working as a member of a camera/vision research team.

We offer competitive salary and work on cutting edge research with high-impact applications in autonomous driving, smart assistive robotics or augmented reality.

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning.

This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems.

Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training.

The ideal candidate possesses an impressive educational background in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

ISM is a 50+ person company, selling into big events with 50,000+ people (sporting events, rock star events, etc.)

Hyperfine builds a breakthrough medical device that has never been built before - bridging cutting-edge electrical, mechanical and software engineering with artificial intelligence, thereby bringing down device costs, reducing device size, increasing usability.

Hyperfine has a world-class team of physicists, engineers and scientists, whose focus is to build this innovative device that can save the lives of the ones we love and democratize medicine around the world.

If you have a background in MR, deep learning, electrical engineering, physics, or related fields, apply to join our interdisciplinary team of passionate, driven people based in Guilford, CT and New York, NY.

This role is best suited for scientists interested in continuing to develop new machine learning algorithms while also having a direct and immense, real-world impact.

Responsibilities: • Work alongside other research scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.

In particular, the focus is on determining most significant features and control parameters for earth-based resource production model, which could also serve as a base for in-situ resource utilization / production on moon, Mars, or another body in the solar system.

ISM is a 50+ person company, selling into big events with 50,000+ people (sporting events, rock star events, etc.)

1) Computer Vision and Machine Learning engineer with in-depth technical background, 1-2 years of C++11 and python coding experience along with hands on experience in CV/ML algorithm development and optimization.

3) Must be familiar with deep learning architectures, understand computational complexity of network architectures and each layer, loss functions and evaluation metrics

4) Excellent C++11/14 coding skills with best practices, knowledge of STL library and features, data structures, programming pattern, experience with debugging and build tools.

Valeo.ai, artificial intelligence research lab based in the center of Paris and part of tier-one automotive supplier Valeo, is hiring research scientists both in 3D scene understanding and in machine learning to conduct ambitious research projects towards assisted and autonomous driving.

Specifically, to develop a suite of powerful deep learning tools that enable and accelerate AI for numerous operational scenarios including autonomous vehicles and sophisticated consumer electronics.

The new section will focus on building competence and prototypes in the area of perception AI with the aim to use machine and deep learning applied to computer vision in the industries served by DNV GL.

Develop algorithms for detecting physical industrial asset condition and anomalies and using these for enhancing audit/inspection/survey and assurance services

Create or enhance existing DL algorithms to be capable of detecting patterns in images without background

Develop concepts for assurance of advanced IoT devices comprising cameras and DL algorithms

Author technical reports, scientific papers, non-technical reports and professional presentations

Ability to deliver project results within agreed schedules

Ability to articulate work results to internal and external stakeholders

Experience in software development, particularly machine learning techniques in computer vision

Combining technical, digital and operational expertise, risk methodology and in-depth industry knowledge, we empower our customers’ decisions and actions with trust and confidence.

With origins stretching back to 1864 and operations in more than 100 countries, our experts are dedicated to helping customers make the world safer, smarter and greener.

Equal Opportunity Statement DNV GL is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion.

Our team has a diverse skill set including developing computer vision algorithms and machine learning, coding for multiple mobile and digital eyewear platforms, and testing our software in a wide range of environments.

Our technology has been adopted by a global ecosystem of more than 600,000 developers and partners, who have developed more than 60,000 applications for consumer and industrial use on a range of handheld and headworn devices.

As part of the platform team your work will cover areas as diverse as camera access, video rendering, GPGPU, networking as well as integrating with platform AR enablers such as ARKit, ARCore and Windows MR. You will be working on a complex suite of multi-threaded software and keep your eyes on performance to deliver the best AR user experience.

Bachelor’s degree or higher in Computer Science or a related area

Commercial software development experience with C++ and excellent problem-solving skills

Experience with mobile or eyewear app development with at least one of the following platforms is a plus: iOS, Android, UWP, HoloLens

Familiarity with multi-threaded and asynchronous programming is a plus

Familiarity with AR systems is a plus

Experience with Python and Continuous Integration is a plus

Good verbal and written communication in English

You will join a talented team focused on using deep learning to solve difficult computer vision problems and enable AR experiences on all types of objects and surfaces.

As a member of the Vuforia deep learning team, you will create new and innovative features for the Vuforia platform, which has been adopted by a global ecosystem of more than 500,000 developers and partners, who have developed more than 60,000 applications for consumer and business use on a range of handheld and head worn devices.

You will work within a team of deep learning engineers to design algorithms and networks to add new computer vision capabilities to the Vuforia platform.

You will run experiments and create test datasets to validate the effectiveness of these new algorithms and networks to ensure that the solutions are accurate and efficient.

You’ll stay up to date on the latest research, by reading papers and attending CV or machine learning conferences, and follow the developments of AI technologies in general.

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning.

This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems.

The main job responsibility of the candidate will be working with computer vision scientists and engineers to develop, evaluate, and optimize machine learning and deep learning methods for a wide range of computer vision tasks, including face detection/verification/recognition;

Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training.

The ideal candidate possesses an impressive educational background and work experience in using machine learning and deep learning to solve computer vision problems, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

Deep North’s end-to-end software and hardware solutions combine artificial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of eachindividual at the highest possible standards of anonymization.

Our ideal candidate is an expert in person/vehicle re-identification, has the experience required to transform research ideas into production and the drive to build the best re-identification solution in the market.

Deep North’s end-to-end software and hardware solutions combine artificial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of each individual at the highest possible standards of anonymization.

Our ideal candidate is an expert in person/vehicle re-identification, has the experience required to transform research ideas into production and the drive to build the best re-identification solution in the market.

We continue to advance the state of the art and impact Microsoft, the industry and our customers by taking AI and Computer Vision applications to everyone including consumers, developers and businesses.

We are a growing team of talented researchers, engineers and artists putting technology on all devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, connected to Microsoft’s Intelligent Cloud.

All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

•Contribute to the conception, development, implementation and optimization of new algorithms allowing to further improve coding efficiency over state-of-the-art video codecs such as HEVC.

Job Overview

Overview

The Qualcomm Camera Team is seeking a passionate systems algorithm engineer with focus in camera 3A (auto focus, auto exposure auto white balance) to join the team in San Diego.

We are seeking candidates with technical excellence in Image Processing and the creativity and initiative to apply their technical knowledge to exciting new camera technologies for mobile devices.

Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, and machine intelligence.

ISP (Image Signal Processor) pipeline design, Camera Bayer processing design, Camera processing: denoising, detail enhancement, local tone mapping, high dynamic range (HDR) and color processing design

Successful candidates will be part of a research team within the ECE Department at the University of Nebraska-Lincoln, where they will research and develop new domain adaption techniques for facial recognition, object detection/classification, etc.

The desired qualifications include a master's degree in electrical engineering, computer science, or related field, and strong programming skills (e.g., C/C++, python, pyTorch, Tensorflow).

We are looking for someone with MS/PhD, strong software engineering capability, and 3+ years solid experience building and deploying CV models into enterprise production.

The candidate must have a strong publication record on problems relating to video analysis (e.g., action recognition, motion estimation, tracking, spatiotemporal feature learning, future frame prediction, object detection in video).

As a computer vision research intern, you will be uniquely positioned to work on fundamental research in perception such as improving and applying CNN based segmentation, geometric CNNs, convolutional kernel filter based tracking, VO/LO and Lidar/Radar fusion into products.

You will work with (and mentored by) existing team members with expertise spanning from deploying computer vision, CNNs, DNNs on industrial products to recent Ph.D.’s in computer vision and deep learning.

Our current team members have degrees in computer science, information systems, psychology, cognitive science and neuroscience from top global institutions.

We work on some of the most crucial, incredibly hard, and future-oriented problems in AI.The goal of our programme is to develop next-generation AI technologies that will enable machines to: 1) Learn like humans from instruction, demonstration, or experience with a small number of examples;

Our new project brings together researchers studying perception, dialogue, commonsense reasoning, cognitive systems and robotics, and aims to enable machines to truly understand and collaborate with humans.

As the lead cv scientist, you will be uniquely positioned to work on fundamental research in 3D Lidar/stereo camera fusion suited for geometric CNNs, convolutional kernel filter based tracking, VO/LO and Lidar/Radar fusion into products.

We welcome candidates with background in any of the following fields: computer vision, machine/deep learning, medical image analysis, computational microscopy, data science and statistics, radiomics, etc.

Your future research will be on different aspects of image and video understanding, with a particular focus on topics such as image and video synthesis, disentangled representation learning, visual retrieval, human behavior analysis, or deep metric learning.

Your application should include a CV, a cover letter including a statement of research interests, a transcript of records, a list of publications, and two academic references.

The ideal candidate will be involved in applying existing state-of-the-art computer vision techniques as well as developing new algorithmic concepts in the field of Video Analytics.

Responsibilities include: researching and developing computer vision and machine learning algorithms to solve a variety of problems in video surveillance and business intelligence;

The representations, which are often continuous in nature and realized with deep learning techniques, make it easier to extract useful information from language and multimedia data.

They have the potential to be integrated in innovative models for interaction with machines, for instance, in human-machine communication, or in automated search, classification, mining and recommendation of Web data.

Possible application areas to valorize the research regard automated understanding of language, natural language and multimodal interaction with machines, chatbots, cross-lingual and cross-modal machine translation, information retrieval and question answering, content-based recommendation, online retail, and the mining of text and multimedia data in Web, social media and professional settings.

Research in representation learning also provides possibilities to outreach to the domain of computer graphics where this approach becomes increasingly important.

The successful candidate will acquire competitive funding and actively participate in the development of future research projects resulting in a

We use a combination of traditional computer vision and various flavors of neural nets for object detection, feature tracking, 3d reconstruction and more.

Our augmented reality application straddles techniques relevant to differential geometry, biometrics, image restoration, mobile/embedded cv, and human pose and motion, among others.

Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using 8-bit non-volatile memory arrays which have been under development since 2012.

This step change in performance brings in a range of new applications in a broad array of verticals, including safety and security, autonomous vehicles, VR/AR, robotics and media.

The DNN Co-design team works with Mythic's Product, Deep Learning, Compiler, and Hardware teams to build software tools and pipelines which help our customers bring high-performance neural network AI solutions to market on Mythic’s innovative new inference engines.

The Co-design team is responsible for algorithm development, applied research, and building, debugging, deploying and maintaining Mythic's co-design software stack as it transitions from the prototyping and R&D phases into production.

The Co-design engineers will be working with Tensorflow, Caffe, Keras, Pytorch and other common deep learning frameworks, and collaborating with Mythic's teams developing our compiler, simulator, and firmware tools to assemble a reliable, easy-to-use total software solution for customers.

As a manager/lead, you will be expected to build a top-notch team, be involved in advanced applied research and help lead the development of innovative and disruptive NN technologies.

You can expect to build a top-notch team, receive additional training, and take responsibility for delivering and maintaining Mythic's core software product.

You will work with product, deep learning, compiler, and hardware teams to scope new features, write requirements, and generate development plans.

not only do we need efficient serving infrastructure to train our models, our proprietary data-sets we collect and annotate give us a competitive advantage in the models and products we can build.

Familiarity with environments including LDAP, NFS, bare metal GPU servers, deployments and automation / configuration management, modular user shell environments, networking.

DeepScale is looking for a functional safety manager who is well versed in leading and managing the functional safety process and functional safety audit for our perception software.

Collaborate closely with our deep neural network development team, to create a functional safety program that demonstrates our commitment to the automotive industry and regulators to building trusted, safe DNN software products.

This person will develop prototype models for novel vision and non-vision machine learning use cases in health on existing, large scale dataset

For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people's lives.

You will be part of a new machine learning / data analytics team at Corning Technology Center Montréal (CTCM) and work on interesting and challenging projects across different global business within Corning.

You will act as a subject matter expert to develop and deploy data analytics and machine learning models and novel computational methods (especially in the areas related to computer vision) from available research &

You will enjoy the collaborative and dynamics team environment, learn and grow with other world class machine learning modeling engineers and scientists.

For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people's lives.

You will act as a subject matter expert to develop and deploy data analytics and machine learning models and novel computational methods from available research &

You will enjoy the collaborative and dynamics team environment, learn and grow with other world class machine learning modeling engineers and scientists.

The research of the PhD candidate will aim at developing methodologies that go beyond current state of the art solutions for information discovery from big earth observation data archives by learning from volunteered geographic information using deep neural networks.

* Deep understanding and experience in state-of-art medical image analysis, image registration, machine learning, computer vision algorithms.

*Research and develop novel algorithms to perform multi-modal sensor fusion, registration of different datasets, modelling of physiological functions, and analysis of medical image datasets.

* Deep understanding and experience in state-of-art image segmentation, medical image analysis, machine learning, computer vision algorithms.

Outstanding and motivated PhD candidates, with very good first Masters or honours degree in mathematics, computer science or science, are being sought to work as part of a research team on developing methods for solving a wide range of problems related to geometry in computer vision and machine learning.

This grant is according to the fellowship rules of the Max Planck Society: it usually amounts to 3,000 Euro/month and is completed by compensation for business expenses of 10,000 Euro/year.

Applications should include a CV, a cover letter, a publication list, a short research plan (one page is enough), and two references, that will be contacted later to provide recommendation letters.

The CVL team has published methods for deep convolutional networks and efficient online learning as well as efficient methods for geometrical problems at major computer vision conferences such as CVPR, ECCV, and ICCV in the recent past.

CVL researchers are particularly known for their work on visual object tracking, signal processing approaches to vision, feature representations, and rolling shutter methods.

As a research fellow, you are expected to conduct your own research in computer vision, in particular regarding mathematics and algorithms for 3D computer vision, as well as teach computer vision courses within this sub-area.

The position will be in a multidisciplinary environment of AAG (aag.ciirc.cvut.cz) and IMPACT (impact.ciirc.cvut.cz) groups of Tomas Pajdla (people.ciirc.cvut.cz/pajdla) and Josef Sivic (www.di.ens.fr/~josef) pursuing research in machine learning driven computer vision including 3D vision, visual recognition, visual localization, video analysis, robot/camera modeling and calibration, robot motion/activity learning and planning with applications in autonomous driving, advanced manufacturing, movie production or augmented/virtual reality.

This 3.5 year PhD studentship will investigate self-supervised methods to learn computational models of creativity from large volumes of digital creative work.

The PhD will focus upon developing new deep learning techniques to understand and synthesize many forms of creative output, including digital artwork, user experiences (e.g.

We’re currently working with multiple institutional partners and dental organizations to help dentists avoid missing diseases and effectively communicate treatment recommendations to over 210 million patients.

Technical qualifications include: • Master or PhD in a computer science, applied mathematics, or related technical field • Extensive experience in deep learning, computer vision and traditional machine learning algorithms • Experience with machine learning frameworks such as TensorFlow or PyTorch • Strong programming skills in Python and C++, and experience working in UNIX environments • Ability to work and manipulate large amounts of data • Thinking in terms of long-term vision, but also approaching new experiences with a pragmatic outcome-oriented mindset • Previous experience in medical imaging and DICOM standard is a plus but not required

Our group is dedicated on exploring multiple signals (visual, acoustic, textual) for automatic content analysis in unconstrained or surveillence videos.

The successful candidate will collaborate with Apple researchers to research and implement new machine learning solutions, conduct large scale experiments, deliver technology results and prepare technical reports for publication.

As a member of the team, you will work on some of the most challenging technical problems, develop new ML solutions that will impact future Apple products, and collaborate with the best product teams to integrate your ideas into products.

With a focus on curiosity-driven research, our team is dedicated to pursuing of state-of-the-art by publishing at top-tier conferences, developing impactful products with the potential to reach millions of people, and supporting the broader AI community.

Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

The postdoctoral scholar will work on the problem of visual common sense reasoning, with an emphasis on combining continuous-space sequential decision models such as recurrent networks and reinforcement learners with symbolic approaches such as finite state machines.

We are most interested in experiences in sequential models, deep reinforcement learning, planning, symbolic machine learning, video prediction, video object segmentation and multi-target tracking, A strong research record is required, documented by recent publications in the past 3 years at first-tier conferences (CVPR, ICCV, ECCV, ICML, NIPS, ICLR, UAI, RSS) and journals (IJCV, PAMI, JMLR).

Our ideal candidate would have strong experience in developing novel computer vision and machine learning techniques and applying them to solve real-world problems.

The selected candidate will be part of the computer vision and video analysis team, and will be in charge of the development of novel methods for solving computer vision problems.

Graduate degree (PhD preferred) with research experience in computer vision and machine learning Solid skills in C/C++ or Python Ability to develop large-scale systems working with image/video data Strong working knowledge of software architecture and data structure Nice to have:

Research experience and publications in relevant fields in top-tier conferences and journals Up-to-date knowledge and understanding of recent advances in machine learning and computer vision, particularly deep learning Practical experience with deep learning frameworks What we offer:

The selected candidate will be part of the sport analytics research team, and will be in charge of the development of novel descriptive and predictive models for sport games data.

Graduate degree (PhD preferred) with research experience in applied machine learning Solid skills in C/C++ or Python Ability to develop machine learning models on large and complex data Deep understanding of machine learning theory and mathematical modeling Strong working knowledge of data structure Nice to have:

Research experience and publications in relevant fields in top-tier conferences and journals Up-to-date knowledge and understanding of recent advances in machine learning, particularly semi-supervised learning and deep reinforcement learning Research experience in time series analysis and/or structured prediction Practical experience with deep learning frameworks What We Offer:

Malong Technologies (码隆科技) is an award-winning AI company focusing on computer vision research in product recognition and related technologies to transform the retail industry to be more efficient.

Founded in 2014, and now with some of the world’s leading retailers as its customers, Malong is at the forefront of the frictionless shopping revolution by merging the science and real-world application together, both physically in-store and virtually online.

VC-backed by Softbank China, Accenture and other leading investors, Malong is fast-growing, well-funded, with 150+ employees hailing from top R&D orgs such as Microsoft Research, Oxford VGG, Tsinghua University, Chinese Academy of Sciences, University of Maryland, etc., and in collaboration with the research community, including Microsoft Research Asia, Google Research, and top university labs.

The company is actively hiring research scientists, research engineers and interns, strongly supporting researchers to publish papers in top CV conferences and journals, and looking to make a big impact to both the scientific community and industry.

• Experience working with large-scale data sets on image classification, object detection, tracking, model compression, edge computing related applications or video-related tasks.

From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society.

If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you.

We currently have full time and intern opportunities available for different areas in Computer Vision, Robotics, AI and Machine Learning including: computational sensing, 2D/3D reasoning, vision analytics, explainable AI, life-long learning and human behavior modeling.

LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on active learning, continual learning, few-shot learning, generative models, encoder-decoder networks, self-supervised learning, etc.

The subjects include lifelong learning (continual learning), generative models, network compression, multi-model data representation learning.

Interested applicants should email their CV (preferably with contact information of 2 references) and transcript of university course grades to Dr. Joost van de Weijer (joost@cvc.uab.es).

The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer.

The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.

We are interested in various topics in computer vision and machine learning, especially in explainable AI, the deep coupling of neural networks and graphical models, generative models, lifelong learning, and robotics.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com/research), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years.

As a part of the global Human Machine Interaction research unit, our team is responsible for shaping the user experience of future Bosch products by developing cutting-edge technologies in the fields of mixed reality, robotics perception and human robot interaction.

We also actively collaborate with leading research groups in academia and industry to promote new ideas and dissemination of key findings in internationally renowned conferences and journals, e.g.

The ideal candidate will passionately drive and further advance innovations in the field of computer vision but not limited to machine learning based approaches.

IAI is looking for self-motivated software developers at entry, mid and senior levels who are interested in working in a highly agile and dynamic R&D, technology transition and product development environment.

Electromechanical Systems (REMS) team as well as supporting the development team to refine research and products in the areas of big data and text, image, video and network analytics.

You are highly encouraged to apply if you are excited about writing code, interested in applying the latest technologies throughout the software stack, have strong analytical skills, enjoy finding and fixing bugs, passionate about understanding how things work and want to solve complex problems.

You will be working with the multi-disciplinary team of scientists and engineers in the robotics group to develop custom solutions for our customers in the fields of video analytics, robotics, autonomy, human-machine interface, AI, and electromechanical system integration.

We have numerous active R&D projects where we design, integrate, test, and deploy systems for a range of applications, including ISR (intelligence, surveillance, and reconnaissance), perception for autonomous systems, aircraft inspection, training, and simulation.

The desired candidate should have a strong publication record in computer vision particularly in the areas of object detection and tracking, object recognition, machine learning, and robotic vision.

The project is focussed on developing a new deep-learning toolkit and techniques, to support state-of-the-art deep-learning with modern asynchronous visual sensors (such as event cameras) for applications in robotics.

In particular, the candidate will address the problem of deploying vehicle counting models for monitoring traffic congestions over a large-scale network of video surveillance cameras.

As a Visiting Scholar*, you will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment.

Job Responsibilities: As a Visiting Scholar, you will be responsible to: 1) Define, develop and review all existing and proposed applications for technical design plus development of all major customer or AI projects;

2) Understand, produce and maintain all relevant project documentation 3) Evaluate complex technical issues, deliver recommendations and present technical assistance for applications of advanced theory, principles, concepts and methods 4) Evaluate new products, tools and services and render recommendations 5) Correspond and work with multi-agency/institutional working teams for AI projects and comply with regulations, work practices, and industry or site-specific work rules.

Job Requirement: To be considered for this position, you will need: • PhD/MSc in the area of Machine Learning, Computer Vision or Pattern Recognition • Project experience and excellent skills in the use of programming languages such as C/C++/Python/Java, familiar with data structures, Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments • Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Good communication skills, proactive attitude and passionate about new technologies and ideas to follow the latest technological developments and implement cutting-edge algorithms for business applications • Priority will be given to those with publications and awards in international competitions for algorithms and ML/DL/computer vision research and development.

Experience in facial recognition and Computer Vision is preferred If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR 2019 and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai *Visiting Scholars must be sponsored by a faculty member of an educational institute in Singapore, who is willing to act as an advisor to the proposed research project.

You will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment.

Job Responsibilities: As a AI Algorithm Scientist, you will be responsible to: 1) Design and implement ML/DL/Computer Vision Algorithm for various types of application data and business cases, which includes facial recognition, smart community and enterprise security;

3) Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale, using Pensees novel hardware and work closely with scientists and engineers to drive systems from prototyping to production level;

• 1 - 3+ years of experience in DL, ML algorithms and model development • Proficiency in the use of programming languages such as C/C++/Python/Java, familiar with data structures, familiar with Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments.

• Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Strong ability to follow the latest technological developments and implement cutting-edge algorithms for business applications.

• Good communication skills, proactive attitude and passionate about new technologies and ideas • Priority will be given to those with publications and awards in international competitions and top tier conferences and journals for algorithms and ML/DL/computer vision research and development.

Experience in facial recognition and Computer Vision is preferred If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR 2019 and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai

As a Senior AI Algorithm Scientist, you will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment.

Job Responsibilities: As a Senior AI Algorithm Scientist, you will be responsible to: 1) Lead a team of scientists to fine-tune, design and implement ML/DL/Computer Vision Algorithm for various types of application data and business cases, which includes facial recognition, smart community and enterprise security;

3) Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale, using Pensees novel hardware and work closely with scientists and engineers to drive systems from prototyping to production level;

• 5+ years of experience in DL, ML algorithms and model development • Proficiency in the use of programming languages such as C/C++/Python/Java, familiar with data structures, familiar with Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments.

• Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Strong ability to follow the latest technological developments and implement cutting-edge algorithms for business applications.

• Good communication skills, proactive attitude and passionate about new technologies and ideas • Priority will be given to those with publications and awards in international competitions and top tier conferences and journals for algorithms and ML/DL/computer vision research and development.

If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR2019 and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai

As an AI Algorithm Scientist, you will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment.

Job Responsibilities: As a AI Algorithm Scientist, you will be responsible to: 1) Design and implement ML/DL/Computer Vision Algorithm for various types of application data and business cases, which includes facial recognition, smart community and enterprise security;

3) Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale, using Pensees novel hardware and work closely with scientists and engineers to drive systems from prototyping to production level;

• 3+ years of experience in DL, ML algorithms and model development • Proficiency in the use of programming languages such as C/C++/Python/Java, familiar with data structures, familiar with Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments.

• Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Strong ability to follow the latest technological developments and implement cutting-edge algorithms for business applications.

• Good communication skills, proactive attitude and passionate about new technologies and ideas • Priority will be given to those with publications and awards in international competitions and top tier conferences and journals for algorithms and ML/DL/computer vision research and development.

If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR2019, and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai

in Computer Science, Electrical Engineering or related areas with research activities focused on Computer Vision, and have a documented track record of creative innovation that has led to successful research outcomes.

MERL conducts fundamental, academically oriented, cutting-edge research that is applied to challenging industrial problems such as object, action and scene understanding, robotic vision, and autonomous driving, as well as surveillance and monitoring systems.

We have the benefits and resources of a large corporate parent, but the MERL environment is small, collaborative, interdisciplinary and creative with smart management, ample resources, and minimal bureaucracy.

Best of all, researchers spend at least half their time pursuing their own research interests, and every researcher has a private office with a whiteboard and door enabling them to have a quiet space to work and think.

The Company: Intuitive, maker of the da Vinci® surgical system and Ion® endoluminal system, was founded with a simple belief: Medical intervention should help people recover as quickly and completely as possible.

In more than two decades working closely with care teams and hospital leaders, we’ve learned that human understanding, smart systems and instruments, and digital insights are needed to enable better outcomes.

And, with six million procedures performed by tens of thousands of surgeons worldwide, we’re more passionate than ever about innovating for minimally invasive care.

Analyze data and report real-time performance, accuracy, precision and sensitivity of algorithms to uncertainties.

Graduate level degree (computer science, electrical engineering or equivalent) preferred.

Being able to demo a self-developed system software in the areas of computer graphics/vision or augmented-reality is a big plus in the interviews.

A passion for learning and getting to the root of complex technical problems •

A desire to deliver a quality and innovative product that improves people’s lives

Our product design point is to help people make sense of information buried in mountains of documents, conversations, photos, videos, 2D and 3D scans, molecular and genetic representations, and emerging device and sensor signals.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Our product design point is to help people make sense of information buried in mountains of documents, conversations, photos, videos, 2D and 3D scans, molecular and genetic representations, and emerging device and sensor signals.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

The ideal candidates have a passion and hands-on experience in computer vision, physics based animation, machine learning, motion control, animation pipeline and 3D full-body pose estimation.

To apply, send a CV, a short (<1 page) explanation of research interests, and the name of 3 potential referees to thomas_serre@brown.edu and rufin.vanrullen@cnrs.fr

The research will be centered around 3D acquisition and deep learning, aiming at exploring and go beyond current state of the art solutions for capturing shape and appearance using deep neural networks.

Lab website: http://bia.riken.jp/ , CBS website: https://cbs.riken.jp/en/faculty/bia/ ###### Job description ###### The selected candidate will join the interdisciplinary Brain/MINDS project, and as a member of the unit will contribute to the development and implementation of image processing and image analysis techniques with a focus on (marmoset) brain image data.

The emphasis is on developing cutting-edge technologies that improve current state-of-the-art and publishing high impact work in top-tier journals in order to build a substantial resume and strong international collaborations.

This job may be a great opportunity to apply knowledge and expertise from the computer vision and/or image processing field to new problems in the biomedical field.

The Ikebukuro-Station is a hub which connects many famous places in Tokyo, including Shinjuku (9 min train ride), Shibuya (18 min train ride) or Akihabara (19 min train ride).

However, those who prefer living close to the nightlife and entertainment spots in Tokyo benefit from commuting out of the city in the morning, and returning in the evening (significantly less crowded than the other way around).

###### Qualifications ###### The candidate should have or be expecting to receive a Ph.D., by the time of employment, in related fields and have relevant research skills and experience in developing algorithms for the analysis/processing of biological/medical/neural images, computer vision, machine learning, deep learning, optimization, simulation, or similar fields, demonstrated by high-quality publications + good English communication skills + proficiency in a programming language (such as C++/Python/JS) + good communication skills and ability to cooperate ###### Employment and Application ###### Start: October, 2019 (negotiable).

Spark Insights is an early stage stealth mode company based in Boston on a mission to develop a broad range of solutions for the insurance industry using big data, advanced modeling, machine learning, and artificial intelligence.

You will be focused on building and leading a team developing and deploying image processing, machine learning and deep learning solutions that will have impact in the financial services and insurance industries.

Research, architect, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems.

or MS in computer science, machine learning, physics, or engineering 8+ years satellite image related industry experience Strong academic background with prominent research that’s been recognized at leading conferences and journals.

Spark Insights is committed to providing equal opportunity for all employees and applicants without regard to race, color, religion, sex, sexual preference/orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, veteran status, or any other protected classification under applicable law.​

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility.

We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

At this position, you will conduct both fundamental and applied research, build core technologies in machine learning and computer vision, publish your results, prototype and execute, together with engineers, all the way to impact various products in the areas of cloud and edge intelligence, such as Microsoft Cognitive Services and Pix.

Experience with deep learning, video analysis, 3D computer vision, and mobile augmented reality Strong cross-group collaboration skills Excellent communication and writing skills Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility.

We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox.

We leverage the power of deep neural networks under the hood to let users construct their own custom models tuned to their own particular scenarios.

We are looking for an individual well versed in the infrastructure challenges associated with training large machine learning models that can be deployed and edge devices.

Develop core computer vision engine that powers edge devices Write maintainable code with design document and unit tests and perform code reviews.

Ability to understand and implement complex algorithms efficiently and correctly Demonstrated cross-team collaboration skills, leadership, writing and communication skills An agile and strategic thinker and detail oriented, with the ability to handle a diverse number of concurrent activities.

These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility.

We’re a growing team of talented scientists and engineers putting technology on a human path across all Windows devices, including Microsoft HoloLens, Kinect for Azure, the Internet of Things, phones, tablets, desktops, and Xbox.

We are passionate about using computer vision to map and understand the environment, recognize and track relevant objects, and assist the user in performing the task at hand.

The team aims at building up a diverse expertise across computer vision, graphics, machine learning, robotics, interaction, and software engineering.

We are looking for talented computer vision and machine learning researchers and software engineers: people who love to invent and build new stuff that really works and can be deployed to millions of users.

Responsibilities Computer Vision – Contribute with your expert knowledge in one of the following domains: Develop advanced solutions for geometric computer vision problems (i.e.., structure-from-motion, visual-inertial localization, SLAM, multi-view stereo, etc.) by fusing visual and inertial information from multiple cameras, IMUs, and other sensors.

Develop advanced solutions for computer vision problems with a focus on action recognition, human body and hand pose estimation, hand-object interaction understanding, on both egocentric and third-person scenarios.

Research and Engineering – Investigate challenging unsolved problems and design novel solutions by rapidly prototyping and evaluating the ideas using data/test driven analysis.

Qualifications Must be passionate about incubating new ideas, solving problems, and building working systems Excellent oral and written communication skills Should hold a PhD or similar degree in computer vision, machine learning or robotics or have suitable alternate expertise and experience.

Ideally, the candidate has a strong publication record with research results published at top-tier conferences and journals (CVPR, ECCV, ICCV, ICRA, IROS, TPAMI, NeurIPS, ICLR, etc.) Must be strong programmers with software engineering experience and good debugging skills.

deep learning Probability and statistics Numerical algorithms, e.g., non-linear optimization Robotics and control systems Novel sensing hardware Should have strong mathematical skills Microsoft is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, Windows Mixed Reality headsets, and motion controllers.

By sharing this understanding with developers via public APIs, we facilitate real-world spatial reasoning such as occlusion, collision, placement, navigation, and more.

As a member of the Spatial Mapping team, you will design and implement algorithms for creating digital representations of the real world environment, build tools to visualize, evaluate and improve these algorithms, and provide APIs for accessing the algorithm outputs.

We are looking for someone who enthusiastic about collaborating with peers and partner teams to build technology that merges the real world and the virtual world.

Responsibilities Collaborate with peers and partners to expand our spatial understanding capabilities Design, implement and optimize algorithms for reconstructing the environment in C++ Develop APIs for sharing Spatial Mapping capabilities with developers Build tools for inspecting and debugging the Spatial Mapping system Implement and analyze telemetry for measuring success rates and detecting failure cases Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals

passion for problem solving, software design and writing high quality code Excellent written and verbal communications skills

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility.

We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox.

Research, improve, design, implement, bring-up, optimize, and validate cutting-edge human tracking algorithms on low-level, multicore systems •

Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, Windows Mixed Reality headsets, and motion controllers.

As a member of the Spatial Mapping team, you will design and implement algorithms for creating digital representations of the real world environment, build tools to visualize, evaluate and improve these algorithms, and provide APIs for accessing the algorithm outputs.

We are looking for someone who enthusiastic about collaborating with peers and partner teams to build technology that merges the real world and the virtual world.

Responsibilities Design and develop large scale distributed software services and solutions Design, implement and optimize Computer Vision algorithms for 3D reconstruction Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals

passion for problem solving, software design and writing high quality code Excellent written and verbal communications skills

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together-whether that’s colleagues brainstorming around a giant digital whiteboard, scientists “meeting” on the surface of a virtual Mars, or some yet undreamt-of possibility.

The HoloLens Sensors team is looking for a talented Software Development Lead to join us to build and test the software, tools, and infrastructure needed to advance the state-of-the-art for sensors in the products listed above and more!

Lead a small team (3-5) of software engineers to develop and maintain multiple layers of software including sensor firmware, embedded processing, device drivers, application layer APIs, and high-level tools &

GUIs Develop world class code, tools, documentation, and reports suitable for direct product integration Participate actively in detailed design, code reviews, bug/issue triage with feature teams and support well informed decisions towards engineering, customer and business goals Collaborate with other experts on the Sensors team to prototype new technologies, algorithms, formfactors, and incubate our product roadmap Champion software development best practices including code reviews, test methodology, and documentation

BS in Computer Science or similar (mathematics, EE, etc.) with 5+ years of related industry experience Deep native development skills using Python and C/C++ in a team development setting across full product life cycle from specification through sustaining phase Outstanding technical problem solving and debugging ability Proven experience collaborating across disciplines and broad teams Self-motivated to learn and execute with attention to detail in documentation and execution Ability to handle technical and design ambiguity Experience working with distributed software project management tools such as those in Azure DevOps: Planning &

MS or PhD in Computer Science or similar, or equivalent work experience 3+ years of management or Dev Lead experience Experience with MATLAB programming Experience working in a lab setting with hands-on equipment Experience with any/all of the following are a plus: Performance critical code such as SIMD processor extensions or GPU programming Digital image sensors Image processing Computer Vision UI frameworks DevOps / Infrastructure SW Automation

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

You will be part of a group that uses the latest science and engineering practices, works on cutting-edge technologies, and solves complex problems in computer vision and visual learning

All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status

We are looking for a postdoctoral fellow who is interested in developing deep learning methods to discover imaging biomarkers for predicting the knee osteoarthritis progression from magnetic resonance images.

* Two years of hands-on experience with deep neural networks * Excellent programming skills, preferably in Python * Experience with volumetric data

Headquartered in San Diego, California, 12 SIGMA Technologies (图玛深维)is a well-funded start-up company focused in applying artificial intelligence and deep learning into modern medical image diagnostics and data analytics.

PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience Strong expertise in computer vision and machine learning, with solid understanding of neural networks and the underlying math Publications at top conferences and journals, or successful industry experience Extensive experience in designing deep convolutional neural networks using Caffe or similar platforms (TensorFlow, Theano, MxNet, etc.) Proficient programing skills in C/C++ and Matlab, experience with ITK preferred Excellent communication and presentation skills Ability to work efficiently both as an individual and as a team member in a fast-pace working environment Ability to quickly learn new skills and knowledge

Joining Intuitive Surgical means joining a team dedicated to using technology to benefit patients by improving surgical efficacy and decreasing surgical invasiveness, with patient safety as our highest priority.

The primary function of the position is to use machine learning and classic medical imaging methods to develop and optimize manual and automated image segmentation tools and processes for high quality 3d models from volumetric imaging data.

Accomplishing these goals will involve collaboration with multiple functional teams at Intuitive, including user interface developers, segmentation technicians, and medical experts (surgeons and radiologists).

PhD in computer science, mathematics or related discipline with focus on computer vision or machine learning, or equivalent experience ·

5+ years of experience leading research projects that include highly talented science teams responsible for developing and owning complex algorithms that go beyond the state of the art.

Experience in creating the right culture and environment to ensure a diverse group of people and skillsets can flourish and deliver true breakthrough science and innovation

The Applied Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a research scientist with focus on Computer Vision, Deep Learning and Image Analytics, contributing to new technology development in the area of 3D scene understanding/reconstruction and spatial AI systems for next-generation robot-assisted surgery platforms.

This role is an exciting opportunity to join a newly formed team and contribute to its growth and it will give you an opportunity to test your knowledge in a challenging problem solving environment.

The successful candidate must excel in a high-energy, focused, small-team environment, be able to initiate and drive new research directions, and have a commitment to high research quality.

In-depth knowledge in one or more of the following areas: real-time graphics, animation, simulation, performance-capture, 3D reconstruction, material/reflectance modeling, neural rendering •

The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment.

Take for example (1) determining how to implement AR technology to improve the shopping experience versus (2) optimizing diversity in the sales we highlight in a customer’s email.

The projects that this team works on are driven from the ground up, so we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment.

You are enthusiastic about working on some of the most challenging problems using machine learning and deep learning to solve and directly contribute to products beneficial to patient care.

Responsibilities: 1) Perform research to advance the-state-of-the-art and solve specific problems at scale in one or more of the following areas: transfer learning, reinforcement learning, active learning, information diffusion, image classification &

This research project aims at utilizing existing large-scale RGB domain data to reduce the requirements of IR-domain data (or the other domain data) for general object classification and detection by means of deep domain adaptation technique.

**Requirements**: (1) A good undergraduate degree in a relevant discipline and a PhD in computer vision, machine learning, data science, mathematics or a clearly related area.

(2) Solid mathematics knowledge and programming skills (3) Experience in delivering research project results in computer vision and machine learning, i.e.

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road.

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road.

in Computer Science, Electrical Engineering, or a related field, experience with multimodal sensor fusion, deep learning, and/or have expertise in machine learning, computer vision, localization and mapping.

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road.

Desired Qualifications: MS/PhD degree in Computer Science, Electrical Engineering, or a related field, experience with sensor software development, deep learning, and/or expertise implementing vision and perception algorithms.

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road.

Desired Qualifications: MS/PhD degree in a machine learning related discipline, familiar with large scale learning, and fluent in a modern programming language, such as C++ and/or Python.

PathLAKE has received over £15m funding from Innovate UK and industrial partners to build a world-class image data repository and develop AI tools to improve diagnosis and deliver precision treatments.

We are recruiting a new team of researchers and developers in order to build a massive multi-purpose pathology image data lake and develop novel AI tools to demonstrate diagnostic efficiencies of computer-aided testing of pathology samples and to identify accurate predictive response markers.

As a data scientist on the project, you will work on the development of PathLAKE Analytics Engine offering cutting-edge, massively parallelisable, industry-grade deep learning based solutions for computer-aided screening in large clinical databases of multi-gigapixel pathology images and for predicting response to particular therapies for cancer patients.

LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on active learning, continual learning, few-shot learning, generative models, encoder-decoder networks, self-supervised learning, etc.

The subjects include lifelong learning (continual learning), generative models, network compression, multi-model data representation learning.

If you are enthusiastic about machine learning, solving challenging autonomous driving perception problems, shaping the future of transportation, and have what it takes to achieve these, then this position is for you.

We are seeking machine learning engineers/interns to join our highly skilled, multidisciplinary team of engineers to disrupt the autonomous driving sensor space.

The Company is dedicated to the research and development, production, marketing and promotion of image-grade LiDAR systems and related intelligent perception systems that are essential to autonomous driving.

They have extensive experience in research, development and mass production in the fields of precision optics, precision machinery, medical devices, autonomous driving, sensors, semiconductor chips, artificial intelligence, etc.

Project: SOFTMANBOT is an industrial research project that will provide an innovative robotic system for handling flexible and deformable materials within labor-intensive production processes.

The system will be composed by three main pillars: generic robotic perception (perception of the product and the human operator), a multi-sensor control and planning platform (advanced control algorithms for shape and contact servoing and AI-based task generalization) and smart dexterous grippers (smart mechanical design which will embody grasping/manipulation skills and integrate sensors, mainly tactile) able to handle soft components with high-levels of robustness and flexibility.

Special attention will be paid to the integration of novel robotic concepts based on aspects of safety, ergonomics, adaptability, acceptance and user experience.

Application: The interested candidates should send their CVs and 2 reference contacts as a single pdf file to: youcef.mezouar@sigma-clermont.fr, erol.ozgur@sigma-clermont.fr and juan.corrales@sigma-clermont.fr with [SoftManBot application] as email subject.

With more than 800 patents and the largest team of industrial machine vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry.

So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a high impact team working for a financially strong, global company that is the leader in the machine vision industry, then contact us, because working at Cognex is not just a job….

Our AI Computer Vision systems are used in the production of over a billion products every day across many different industries including consumer goods, aerospace, pharmaceuticals, robotics and electronics.

Industrial machine vision technology is used to analyze imagery (intensity, color, density, Z-data, etc.): to detect, identify and localize objects, to make measurements, to inspect for defects, and to read encoded data.

Technology development is critical to the overall business to expand areas of application, improve performance, discover new algorithms, and to make use of new hardware and processing power.

This group is seeking engineers with a passion for programming to lead deep learning vision technology development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team.

The successful applicant would be expected to develop a program of research in deep learning methods, enabling new applications in processing of images, text or other structured data.

The Microsoft Research Cambridge lab hosts over 130 full-time researchers and engineers who collaboratively pursue research on machine learning, systems and networking, programming languages, synthetic biology, medical imaging and human experience and design.

The application should include a curriculum vitae (CV), three referees, and a research statement (approximately 2-4 pages) which takes into account the unique opportunities provided by the Microsoft Research environment.

Expert understanding of state-of-the-art deep learning techniques, evidenced by a strong publication record in relevant conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, …) or product development.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances

We strive to understand new technologies as they emerge in the industry, create exemplary proof of concepts demonstrating the potential of these technologies, and innovate example product use cases that inform Dell product roadmaps and influence customer perceptions.

Conducts independent research in one or more technology areas, with specific focus on advanced software programs and algorithms, to help broaden Dell EMC’s intellectual property portfolio, advance our technology leadership, and influence future product roadmaps.

Main duties will include creating functional proof-of-concepts that demonstrate the results of research conducted, along with white papers and/or presentations that outline the innovation of the research.

Research projects will span multiple technological areas, including but not limited to cloud-native infrastructure, machine learning, advanced data protection techniques, containers, microservices, open source, intelligent hardware architecture, network and other emerging technologies.

Collaborate with university partners and with other companies to expand the company's knowledge of emerging results in these areas

Leading technical projects, architecture, research, and implementation of new technologies

consistent performance Advanced hardware, novel heterogeneous infrastructure, serverless environment Software and network security, data protection Novel network and dynamic network technologies, IoT edge architecture leveraging 5G ·

Ability to independently deliver from idea through design to code completion for proof of concepts

With world-leading researchers, modern facilities and an innovative culture, AIML is committed to delivering research that has been independently assessed and ranked by the Australian Research Council as performing well above world standards in AI and machine learning.

The Post-Doctoral Research Fellow will forge new ground in artificial intelligence by developing cutting-edge algorithms that combine statistical machine learning with symbolic and logical reasoning to adapt to new domains and data sources with few or no training examples.

With world-leading researchers, modern facilities and an innovative culture, AIML is committed to delivering research that has been independently assessed and ranked by the Australian Research Council as performing well above world standards in AI and machine learning.

Working under broad direction, the Senior Machine Learning Engineer will lead a small team to deliver machine learning solutions for challenging real-world problems that will make a difference in people's daily lives.

The Senior Machine Learning Engineer will manage the complete systems development life-cycle for computer vision and machine learning software solutions including: scoping and planning projects;

To be successful you will need-Proven experience in industrial software engineering with extensive experience in one or more of Linux OS, C++, Java, Python, Experience in applying machine learning to client problems, Demonstrated experience of successfully leading and managing a team in a technical environment, Experience in software project management, A PhD in a relevant area is preferable, but not essential.

Konica Minolta Business Solution is seeking an experienced engineer in the field of Image Processing, Computer Vision and Machine Learning to design and develop algorithms and solutions including, but not limited to document image analysis, medical image or image sequence analysis, robotic vision, etc.

Everything we do starts with our camera feeds: we need accurate 3D reconstruction for tracking, derived geometric features for our deep learning models, coverage maps for our installation team.

Retail environments come with their own challenges: cameras need to be calibrated in a store that never closes, and auto-calibrate if they ever move, all without placing any known objects in the scene.

We're looking for engineers excited by such problems, with a strong understanding of multi-view geometry, an inventive eye for developing new techniques for our unique challenges and a desire to efficiently scale computer vision into large installations around the world.

To do this, we're building a real time vision based scene comprehension engine in order to provide customers with a seamless checkout experience.

You'll be iterating on new model architectures to handle complex shopping scenarios as well as identifying and addressing deficiencies in our datasets and identifying key metrics to optimize in order to maximize the overall accuracy for our customers.

Implement machine learning models for stages of our pipeline including person detection, item classification, and action recognition Integrate latest research to test SOTA models on our custom datasets Adapt pre-existing models to better handle the details of our particular problem set Integrate models into real time streaming pipeline

We're currently inviting applications from candidates who are excited about contributing to the invention, development and benchmarking of computer vision technologies that can be efficiently embedded in devices such as mobile phones, dashcams, robots and autonomous vehicles to allow for real-time inference.

PathLAKE has received over £15m funding from Innovate UK and industrial partners to build a world-class image data repository and develop AI tools to improve diagnosis and deliver precision treatments.

We are recruiting a new team of researchers and developers in order to build a massive multi-purpose pathology image data lake and develop novel AI tools to demonstrate diagnostic efficiencies of computer-aided testing of pathology samples and to identify accurate predictive response markers.

As research staff on the project, you will work on research and development of one or more of the following: efficient techniques for construction of the pathology image data lake;

deep learning based image analytics methods for computer-aided screening in large clinical databases of multi-gigapixel pathology images;

You will also be expected to contribute to the development and operation of systems for the data lake as well as to the development of the AI tools for regulatory approvals and deployment into a clinical setting.

The Oceanic Machine Vision Group at GEOMAR Kiel offers a fully funded PostDoc position (starting June 2019 or later) in the context of robust underwater visual mapping, SLAM for autonomous robots, camera (auto-)calibration and deep sea vision with challenging lighting conditions.

If you have a PhD in machine vision or visual robotics and practical experience in use and calibration of cameras and you are willing to connect geometric and radiometric models for underwater vision and to develop theoretically well-founded solutions for challenging and exciting real world problems, then you have found the right location.

The goal of the Oceanic Machine Vision Group is to bring machine vision to the deep sea with challenging localization, lighting and visibility conditions.

To feel truly immersed in virtual reality, one needs to be able to freely look around within a virtual environment and see it from the viewpoints of one’s own eyes.

The main focus of this job is to oversee the software development within the project team and assist with extending image-based rendering to 360° environments for enabling 6-DoF motion within a photorealistic 360° environment with high visual fidelity.

Another focus of this job is to translate research algorithms into plugins for industry-standard software like Foundry’s CaraVR/Nuke, for example for reconstructing the 3D geometry of the environments from the captured images and videos of 360° environments.

We welcome candidates with background in any of the following fields: medical image analysis, computer vision, machine/deep learning, computational microscopy, data science and statistics, radiomics, etc.

Required Technical and Professional Expertise: 0-4 years experience post doctorate, or 5+ years experience post Master's with solving real-world problems using Data Analytics, Computer Vision and Machine Learning;

The desired qualifications include previous experience in deep learning (e.g., pyTorch/TensorFlow), strong programming skills (python, C/C++ ), and understanding of current machine learning approaches and generative models.

Interested students are encouraged to contact me and visit this openings page for details and the read starting "please send me an email in the following format"

Conducts independent research in one or more technology areas, with specific focus on advanced software programs and algorithms, to help broaden Dell EMC’s intellectual property portfolio, advance our technology leadership, and influence future product roadmaps.

Main duties will include creating functional proof-of-concepts that demonstrate the results of research conducted, along with white papers and/or presentations that outline the innovation of the research.

Research projects will span multiple technological areas, including but not limited to cloud-native infrastructure, machine learning, advanced data protection techniques, containers, microservices, open source, intelligent hardware architecture, network and other emerging technologies.

Collaborate with university partners and with other companies to expand the company's knowledge of emerging results in these areas

Leading technical projects, architecture, research, and implementation of new technologies

consistent performance Advanced hardware, novel heterogeneous infrastructure, serverless environment Software and network security, data protection Novel network and dynamic network technologies, IoT edge architecture leveraging 5G ·

Ability to independently deliver from idea through design to code completion for proof of concepts

Spark Insights is an early stage stealth mode company on a mission to develop a broad range of solutions in big data, machine learning, and artificial intelligence.

As a Data Scientist, you will be focused on developing and deploying image processing, machine learning and deep learning solutions that will have an impact in the financial services and insurance industries.

You will have many options of career paths to choose from, including but not limited to, pure algorithm research, prototype development, commercial product design and scalable production in cloud.

Research, design, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems.

Large-scale geospatial querying and analytics on distributed computing systems like GeoMesa is another big plus (and/or with spatio-temporal indexing on top of the Accumulo, HBase, Google Bigtable and Cassandra) Experience with cloud computing environments (AWS, Azure, Google cloud) Proficient with a distributed computing platform (Hadoop, Spark, etc.).

Responsibilities Research and implement computer vision and machine learning models Collaborate and contribute with other engineers to facilitate creation of novel systems Find the optimal balance between setting and maintaining a research direction, and day-to-day delivery of robust technologies Determine implementation and optimization of algorithms

Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, Robotics or related technical field Experience developing software and algorithms for computer vision, machine learning or computer graphics applications Strong knowledge using scientific computing frameworks &

strong programming skills Deep understanding of machine learning fundamentals Experience with open source computer vision and linear algebra frameworks Strong instincts for efficiency and optimization Passion for machine learning and related fields Experience working on depth sensor technology, SLAM, and/or imaging/camera systems Experience working on VR, AR and/or MR Experience with CPU/GPU programming Experience with OS internals and kernel development/debugging

Lattice Ghost UAS is equipped with powerful on-board compute capabilities to perform factor graph optimization at the edge, ensuring the latest sensor data is interpreted quickly.

Mapping (SLAM) State estimation using factor graphs Geo-referenced feature association Lidar, Optical and IMU sensors Euclidean geometry and quaternion transformations Advanced experience in MATLAB or Python Parallel computing using CUDA Passion for defending the United States and her allies Desired Experience: MS or PhD in Robotics, Computer Science, or related field Algorithm benchmarking for speed and accuracy Embedded systems (NVIDIA Jetson) Real-time optimization techniques Key-point detection and association Unmanned Aerial Systems Satellite imagery data processing Dense reconstruction and texture mapping C++ proficiency

Founded by a team of doctors, engineers, and biostatisticians at the University of Washington, C-SATS applies machine learning to surgical video to create and offer objective, quantitative feedback on surgeons'

Responsibilities for this role will include (1) developing computer vision and machine learning techniques to extract crucial information from surgical videos, using a variety of classical and deep learning approaches;

(3) Building models to support intraoperative surgical decision-making in real time, and (4) Advancing the state of the art in surgical computer vision, including generating patents and publications

Our team of perception engineers work on developing cutting-edge technologies and machine learning models to enable our self-driving trucks to make sense of the world.

It is vital to perform these tasks precisely for safe navigation in complex traffic scenarios by relying on a diverse set of sensors including LIDARs, cameras and radars.

If you are a skilled software engineer with experience in C++ and strong problem-solving skills, are passionate about solving real-world robotics problems, and you have worked on autonomous robots before, check out our job postings at www.kodiak.ai/careers.

The specific postdoc position will focus on developing quantitative imaging analysis and machine/deep learning methods and apply them to large-scale clinical studies.

Ideal candidates should have a PhD (or equivalent) degree (by the starting time of the job), a strong first-degree in computer science, information science, electronic engineering, bioengineering, or closely related subjects.

Our group, Intelligent Computing for Clinical Imaging (ICCI) lab, is composed of members with diverse backgrounds (computer science, radiology, pathology, oncology, surgeon, biology, and biostatistics) working in multi-modality medical imaging analysis, Artificial Intelligence, and clinical applications, currently having 16 trainee members and >

Interested applicants should send an application(all materials in a SINGLE PDF file) to Dr. Shandong Wu with a short letter of motivation (including anticipated available date), a curriculum vitae, and contact information for two or three references (reference letters are not required at this time).

You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment.

Experience developing a production system with 3D geometric vision approaches such as: optical flow, stereo calibration, iterative closest point, SLAM/Visual Odometry, Bundle Adjustment

Experience developing a production system with ML techniques such as: support vector machines, random forests, k-means clustering, maximum likelihood techniques, and deep learning architectures for classification, detection, segmentation

We are looking for computer vision and machine learning researchers to develop methods for autonomous learning for next generation AI systems and high-level visual understanding.

Research topics include description of people’s actions, cross-modal learning from visual, textual and audio inputs, incremental and few-short learning and reinforcement learning.

We are looking for research scientists with 3+ years experience in computer vision and machine learning, as well as programming experience in Python (numpy, keras, tf, pytorch, etc), Matlab or R.

The student will work on research projects focused on developing innovative computer vision, image analytics, artificial intelligence, and deep learning solutions for localization of critical infrastructure in northern Canada from satellite imaging.

Using satellite data captured over multiple decades the student would track the localizations over time to estimate the displacement in structures due to melting permafrost.

The Postdoctoral Fellow will work on research projects focused on developing innovative computer vision, image analytics, artificial intelligence, and deep learning solutions for localization of critical infrastructure in northern Canada from satellite imaging.

Using satellite data captured over multiple decades the student would track the localizations over time to estimate the displacement in structures due to melting permafrost.

*Participate in the research and development of medical image/data analysis algorithms.* Responsible for engineering, packaging, optimizing and testing algorithms.* Continuously improve technical skills and academic accomplishments.

Publish scientific papers and write patent applications.* Collaborate with hospitals and research institutes in research projects.* Understand user needs and participate in product innovation, development and realization.*Document and summarize technical knowledge, and write necessary documents for product registration.

Job Description: *Research and develop analytic algorithms for AI healthcare, including literature review, feasibility study, algorithm prototype development, code realization, and performance optimization, etc.* Dedicated to building and optimizing deep learning models for medical image/data analysis in real-world applications.* Continuously improve technical skills and academic accomplishments.

Publish scientific papers and write patent applications.* Collaborate with hospitals and research institutes in research projects.* Understand user needs and participate in product innovation, development and realization.* Document and summarize technical knowledge, and write necessary documents for product registration.* Exchange technical knowledge deeply and extensively within the team, and help recruit and train new team members.

Participate and conduct in multidisciplinary planning, design, and development of complex, software systems, applications and/or databases, including web applications, layout, and user interfaces

1) The EPSRC project ROSSINI (Reconstructing 3D structure from single images: a perceptual reconstruction approach) will develop deep learning solutions to estimating 3D structure from 2D images and video.

The project seeks to better understand how humans perceive 3D cues in 2D images and how this can factor into computer vision and deep learning approaches.

2) The EPSRC project ExTOL (End to End Translation of British Sign Language) will develop deep learning solutions for human pose estimation, facial feature tracking, and ultimately language translation.

You will join an established research group (165 researchers) within a highly rated research department, with an excellent computing and software infrastructure (GPU compute) for first class research, modern facilities and close links with industry.

*Must have thesis research experience in learning algorithms for computer vision: deep learning for object and motion detection, image classification and segmentation, etc.

*Advanced mathematical modeling skills *Experience with the Python data science stack: numpy, scikit-learn, pandas, matplotlib *Comfortable with OpenCV and other computer vision libraries *Knowledge of Linux systems (Ubuntu, CentOS) *Expert in algorithm design, creative problem solving, and performance optimization *Knowledgeable in computational geometry, linear algebra, and statistics

With hundreds of millions of buyers and sellers, 1B+ of live listings at any point of time, millions of daily transactions and billions of daily queries, eBay provides an amazing playground for researchers to work with data and conduct experiments at scale.

is actively seeking highly skilled researchers to develop image analysis and machine learning algorithms using open source libraries such as ITK, 3D Slicer and scikit toolkits.

Our efforts build upon our extensive software libraries as well as our expertise in a variety of synergistic disciplines including machine learning, pattern recognition, medical image analysis, visualization, informatics, and computer vision.

If you join our team, you will collaborate with world-class coworkers and external researchers on these and other projects in the following ways: Develop advanced image analysis and machine learning algorithms and integrated systems for a wide variety of mission critical applications in medicine and biology.

*Extend the capabilities of VTK, ITK and 3D Slicer to meet the needs of academic and commercial users as they investigate new medical procedures and imaging systems, release innovative products, and improve all aspects of patient care.

We are working for global leaders in industries ranging from Automotive to Aerospace and with cutting edge sport teams from Sailing to Car-Racing, who trust our technology to ensure they stay ahead of the curve in their fields.

Developing the backend of our product, including design, implementation and testing of Neural Concept’s APIs Working together with Research Scientists to design and implement efficient algorithms and data structures in the core engine of our product Closely collaborating with Application Engineers to design and implement novel features required by our clients and partners Continuously working on improving stability and reliability of our products and tools Your profile Requirements:

MSc or PhD degree (Computer Science / Math / Physics or other relevant field) Strong background in algorithms and data structures Strong programming experience in Python and / or C++ Familiar with Flask (or similar web frameworks) Familiar with cloud infrastructure stacks (Google Cloud / AWS or equivalent) Familiar with modern database and storage solutions (SQL and NoSQL) Would be a plus:

generous equity compensation plan Flexible working hours Access to unlimited computational resources State-of-the-art equipment Stimulating environment with top-level researchers and engineers Comfortable office with open beverages and healthy food

However, in practice, it is unavoidable to encounter scenarios where the assumptions are violated: data may have different statistics during training and deployment, data may change over time, may contain noise, or there could even be adversarial attacks.

Potential approaches could include meta-learning for robustness to domain-shift and adaptation to domain shift, or theoretical analysis of neural network robustness to adversarial attack.

Our new team member should have the motivation and passion for large-scale machine learning problems for designing and implementing 2D / 3D scene understanding, localization and perception algorithms.

Requirements: MSc or PhD in Computer Science or related fields with a focus on Machine Learning and Computer Vision Working experience in 3D Computer Vision Good understanding and hands-on experience with the state-of-art deep learning algorithms, such as Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks Strong programming skills in Python and practical experience with one of its mainstream deep learning frameworks (TensorFlow, PyTorch, Keras) Excellent communication skills, oral and written in English - our working language is English.

Ability to design and execute on research and deployment agendas Good to have: Experience in few-shot learning and fine-grained classification Expertise in probabilistic modelling and sensor fusion Expertise in reinforcement learning Strong programming skills with C/C++

You will be fully dedicated to applying cutting-edge machine learning and computer vision techniques to revolutionize the healthcare industry through medical image computation and analysis.

3+ years’ experience in computer vision, machine learning, and/or image processing, and/or natural image processing (working experience in medical imaging is a plus).

The 3-year doctoral scholarship is funded under the CIFRE program and aims to advance the state-of-the-art in incremental learning for classification of objects of interest from imagery acquired by aerial, underwater or terrestrial drones/robots.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility.

We’re a growing team of talented scientists and engineers putting technology on a human path across all Windows devices, including Microsoft HoloLens, Kinect for Azure, the Internet of Things, phones, tablets, desktops, and Xbox.

We are passionate about using computer vision to map and understand the environment, recognize and track relevant objects, and assist the user in performing the task at hand.

The team aims at building up a diverse expertise across computer vision, graphics, machine learning, robotics, interaction, and software engineering.

We are looking for talented computer vision and machine learning researchers and software engineers: people who love to invent and build new stuff that really works and can be deployed to millions of users.

Responsibilities Computer Vision – Contribute with your expert knowledge in one of the following domains: Develop advanced solutions for geometric computer vision problems (i.e.., structure-from-motion, visual-inertial localization, SLAM, multi-view stereo, etc.) by fusing visual and inertial information from multiple cameras, IMUs, and other sensors.

Develop advanced solutions for computer vision problems with a focus on action recognition, human body and hand pose estimation, hand-object interaction understanding, on both egocentric and third-person scenarios.

Research and Engineering – Investigate challenging unsolved problems and design novel solutions by rapidly prototyping and evaluating the ideas using data/test driven analysis.

Qualifications Must be passionate about incubating new ideas, solving problems, and building working systems Excellent oral and written communication skills Should hold a PhD or similar degree in computer vision, machine learning or robotics or have suitable alternate expertise and experience.

Ideally, the candidate has a strong publication record with research results published at top-tier conferences and journals (CVPR, ECCV, ICCV, ICRA, IROS, TPAMI, NeurIPS, ICLR, etc.) Must be strong programmers with software engineering experience and good debugging skills.

deep learning Probability and statistics Numerical algorithms, e.g., non-linear optimization Robotics and control systems Novel sensing hardware Should have strong mathematical skills Microsoft is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

You will be part of an innovative, open environment with a cross functional team, managing all aspects required to add value to the product, from requirement analysis, concept development, to implement and testing.

Demonstrated experience developing vision-based algorithms like object detection and segmentation, feature extraction, visual object tracking, stereo generation, and structure from motion/3D reconstruction

4+ years experience in computer vision, machine learning, and/or image processing (industry experience is a plus)

inspection technology, Koh Young provide best-in-class intelligent inspection solutions for 2000+ electronics manufacturers worldwide, from offices in multiple locations in the United States, Germany, Japan, China, Singapore, Vietnam and Korea(Headquarters).

REQUIREMENTS : Masters or PhD degree with 5+yrs experience in Machine Vision/Computer Vision, with solid understanding and skills to apply various vision algorithms and knowledge in advanced image processing, 2D/3D image recognition/segmentation/reconstruction.

Koh Young Research America in San Diego is seeking passionate MS/PhD graduates to research and develop scalable computer vision, machine learning and deep learning solutions to solve hard problems in electronics and healthcare industries.

• Expert in algorithm modifications and optimizations for efficient processing including fixed point conversion, exploiting parallelism, balancing data transfer and computation.

Applicants should have a keen interest in Computer Vision / Robotics and Intelligent Mobility and be motivated by the collaborative effort required to solve a problem of this complexity, where you will actively work on some of these tasks: developing vehicle data collection systems, automating and refining the data annotation process, designing, training and evaluating deep neural networks that will process data from multiple sensor modalities including cameras, LiDARs and radars, optimizing and streamlining the use of our computational (GPU) resources, improving the continuous integration and deployment toolchains, all the way to embedded software in the vehicles, etc.

The Senior Computer Vision Engineer designs and implements novel deep learning methods (including generative models and motion-aware video analysis techniques) for recognition and prediction of human behavior.

For the right candidate, this is a fantastic opportunity to start as a core team member of a fast-growing, well-funded startup that is pioneering human behavior recognition.

The Computer Vision Engineer designs and implements novel deep learning methods (including generative models and motion-aware video analysis techniques) for recognition and prediction of human behavior.

For the right candidate, this is a fantastic opportunity to start as a core team member of a fast-growing, well-funded startup that is pioneering human behavior recognition.

Our mission is to use machine learning, computer vision and sensor fusion technology to banish checkout lines and self-scanners for good, so shoppers can zip in and out with their purchases.

Possible topics may include, but are not limited to, understanding high level behavioral tasks such as action recognition in relation to language understanding, designing novel core architectures for temporal modeling, video description, language based video retrieval, as well as exploring novel tasks in video and language learning.

The successful candidate would be part of the School of Informatics, which includes access to world class equipment in computing and robotics, and one of the largest research communities in Europe with more than 100 faculty and over 400 graduate students.

The desired qualifications include master's degree in computer science or related subjects, previous experience in deep learning and strong programming skills (C++/python, pyTorch/TensorFlow).

If you are interested in working on cutting edge, real world problems in a setting that is a cross section between academia and industry, then this is a great opportunity for you.

By joining our team, you will be contributing your C++ expertise in the areas of computer vision or machine learning to develop robust solutions for real-world problems.

Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern learning and anomaly detection.

Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.

As a first-class Senior researcher in the R&D team, you will take a prominent part in researching the fundamental science and algorithms that contribute to the research agenda and core portfolio of Meero.

You will drive the execution of that agenda in pushing the boundaries of the worldwide state-of-the-art of the Computer Vision / Deep Learning community and disseminating this work on top-tier international conferences as well as contributing to explore business applications relevant to the company.

reinforcement learning Applied to, for example: text categorization, text summarization, information extraction, question answering, dialogue systems, language and speech, machine translation, language and vision, image classification, object detection, or image semantic segmentation, etc.

As a research scientist, you discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in AI.

As a research scientist, you discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in AI.

We are looking for Simulation engineers with experience in developing 3D engine for autonomous vehicle simulation and a strong passion on the self-driving car industry, maps, machine learning and big data.

We are looking to grow our team with talented computer vision engineers who are passionate about the self-driving car industry, maps, machine learning, and big data.

Requirements Proven working experience designing algorithms and methods for 3D object classification algorithms using point cloud and/or image data Proven experience benchmarking algorithms based on speed, accuracy, and robustness Proven experience implementing efficient data structures to enable faster image processing MS degree or more in Computer Science or related field preferred Proficient in one or more the following languages: Java, C/C++, Javascript 3+ years of working experience We are seeking candidates for a variety of focus areas for our Computer Vision SWE roles, so experience in one or more of these areas is highly desirable: Deep Learning and Object Detection: experience using Deep Learning techniques for object detection in images.

We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status.

If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

We are looking for software engineers with talents in computer vision and a strong passion on the self-driving car industry, maps, machine learning and big data.

We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status.

If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

We are looking to grow our team with talented computer vision engineers who are passionate about the self-driving car industry, maps, machine learning and big data.

Requirements: Design algorithms and methods for 3D object classification algorithms using point cloud and/or image data Benchmark algorithms based on speed, accuracy and robustness Implement efficient data structures to enable faster image processing.

Experience with OpenCV, PCL and general point cloud processing a plus BS degree in Computer Science or related field 0-2 years of working experience We are seeking candidates for a variety of focus areas for our Computer Vision SWE roles, so experience in one or more of these areas is highly desirable: Deep Learning and Object Detection: experience using Deep Learning techniques for object detection in images.

Desired Experience Proven experience in designing algorithms for 3D object classification using point cloud and/or image data Proven experience in benchmarking algorithms based on speed, accuracy and robustness Proven experience in implementing efficient data structures to enable faster data processing.

We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status.

If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

Specific interest areas are deep learning, image segmentation, modeling, visualization, pattern recognition, computer-aided diagnosis, multi-organ models, atlases and registration.

The researcher will work closely with staff scientists, imaging specialists and clinicians and have access to state-of-the-art whole body MRI, MRI-PET, low-dose CT scanners, advanced graphics workstations and parallel processing/GPU clusters.

Desirable Qualifications: Strong theoretical and practical background in computer vision, image and video analysis, such as object detection and recognition, statistical pattern recognition, machine learning, sparse methods and applied optimization.

Understanding of early stage of image processing, including raw image processing, auto exposure and white balance, tone mapping, color correction, noise reduction, etc.;Understanding of digital imaging concepts like metering, exposure, focal length, aperture, shutter speed and gain;

Hands-on experience in one of the following areas: object detection, semantic/instance segmentation, motion/depth estimation, optical flow, object tracking and action recognition;

We are making images and map data available at scale to develop smart cities, build the maps of the future, and pave the way for autonomous vehicles.

Your goal is to advance the state-of-the-art on low-cost and real-time object recognition and to collaborate with our mobile app team to develop a proof-of-concept for an on-device processing application on iOS.

We are looking for Simulation engineers with experience in developing 3D engine for autonomous vehicle simulation and a strong passion on the self-driving car industry, maps, machine learning and big data.

We are looking to grow our team with talented computer vision engineers who are passionate about the self-driving car industry, maps, machine learning, and big data.

Requirements Proven working experience designing algorithms and methods for 3D object classification algorithms using point cloud and/or image data Proven experience benchmarking algorithms based on speed, accuracy, and robustness Proven experience implementing efficient data structures to enable faster image processing MS degree or more in Computer Science or related field preferred Proficient in one or more the following languages: Java, C/C++, Javascript 3+ years of working experience We are seeking candidates for a variety of focus areas for our Computer Vision SWE roles, so experience in one or more of these areas is highly desirable: Deep Learning and Object Detection: experience using Deep Learning techniques for object detection in images.

We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status.

If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

We are looking for software engineers with talents in computer vision and a strong passion on the self-driving car industry, maps, machine learning and big data.

We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status.

If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

We are looking to grow our team with talented computer vision engineers who are passionate about the self-driving car industry, maps, machine learning and big data.

Requirements: Design algorithms and methods for 3D object classification algorithms using point cloud and/or image data Benchmark algorithms based on speed, accuracy and robustness Implement efficient data structures to enable faster image processing.

Experience with OpenCV, PCL and general point cloud processing a plus BS degree in Computer Science or related field 0-2 years of working experience We are seeking candidates for a variety of focus areas for our Computer Vision SWE roles, so experience in one or more of these areas is highly desirable: Deep Learning and Object Detection: experience using Deep Learning techniques for object detection in images.

Desired Experience Proven experience in designing algorithms for 3D object classification using point cloud and/or image data Proven experience in benchmarking algorithms based on speed, accuracy and robustness Proven experience in implementing efficient data structures to enable faster data processing.

We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status.

If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

The ideal candidate will be a self-motivated, team-oriented experienced research scientist or engineer with a good understanding of image processing, machine learning and pattern recognition.

This position requires an organized individual with very strong technical skills who is adept at understanding and solving complex technical problems and eager to explore uncharted territories in biometrics and pattern matching.

Responsibilities include performing advanced algorithm research and development in areas deemed complimentary to Aware’s digital image-based software products with a focus on biometric applications.

in computer science, EE or related discipline proven track record of algorithm development and software implementation training or work experience in clustering, pattern classification, machine learning, image analysis strong background in mathematics, statistics and AI excellent writing and oral communication skills thorough knowledge and use of modern programming languages and operating systems, including: C/C++/Java, Python, in Windows and Linux/Unix environments experience with large datasets, empirical testing, experiment design, statistical data analysis a plus face, and/or voice biometric experience a plus

The position is for two years extendable to three, in the area of computer vision and NLP with the focus on learning under low resource settings for vision and language tasks.

•Contribute to the conception, development, implementation and optimization of new algorithms allowing to further improve coding efficiency over state-of-the-art video codecs such as HEVC.

The Qualcomm Camera Team is seeking a passionate systems algorithm engineer with focus in camera 3A (auto focus, auto exposure auto white balance) to join the team in San Diego.

We are seeking candidates with technical excellence in Image Processing and the creativity and initiative to apply their technical knowledge to exciting new camera technologies for mobile devices.

Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, and machine intelligence.

ISP (Image Signal Processor) pipeline design, Camera Bayer processing design, Camera processing: denoising, detail enhancement, local tone mapping, high dynamic range (HDR) and color processing design

You will be part of our core research team and help develop tools and techniques for detecting and segmenting garments in fashion images and videos.

We welcome PhD students in computer science, applied math, electrical engineering, or similar, with a strong background in computer vision, machine learning, and python programming.

● You will innovate, develop, advance, publish and patent computer graphics, computer vision, AR/VR solutions ● Prototype interactive AR/VR projects for mobile platforms ● Design rich media and immersive experiences for mobile phones ● Create and implement artistic demos, integrated graphics, visual effects and games including level design, narrative elements, game dynamics ● Design software tools, asset pipelines, visual interfaces and functionalities to promote fast and agile proof-of-concept development for mobile phone systems and end-user programs ● Work closely with a team of senior researchers throughout all stages of technology development ● Integrate CV, AI, ML technologies into AR/VR projects….

Qualifications: ● PhD, MS+3, MFA+3 or equivalent in CG, CS, EE, HCR, Arts, Design or a related field ● Very strong experience with Unity 3D or UE4 ● Portfolio of work samples for AR/VR ● Ability to create a consistent and photorealistic style ● Hands-on experience in software and prototype development for AR/VR, in particular for Android ● Solid understanding of modern 3D graphics API, shaders, shading languages and rendering techniques ● Extensive experience in UX design, have a real passion for creating amazing looking user interfaces, 3D content, 3D scenes and scenarios ● Experience working on a game from start to finish, delivering assets efficiently and effectively ● Excellent implementation skills in Python, C/C++, C#, or Java ● Experience in computer vision technologies and multimedia processing ● Highly motivated to work as a team player and as an individual contributor ● Comfortable working in a fast-paced environment with a can-do attitude ● Good oral and written communication, interpersonal skills and fluency in English ● Send inquiries directly to Prof.

(UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market.

The successful candidate will approach technical challenges enthusiastically, exhibit a strong desire to learn and apply new technologies to accomplish exciting tasks.

He/She will show a proven ability to work on challenging and practical problems of medical imaging or other types of Healthcare datasets together with a talented R&D team.

We are a growing team of talented researchers, engineers and artists putting technology on all devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, connected to Microsoft’s Intelligent Cloud.

You will be part of a group that uses the latest engineering practices, works on cutting-edge technologies, and solves complex problems in computer vision and machine learning.

Creativity in mathematical formulations and algorithms with the discipline and perseverance to create software solutions for products.

All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

Success shipping media products involving Image and Video Processing, video capture/playback, editing, streaming and codecs (H.264/AVC, HEVC) Excellent programming skills and proficient with C/C++ Experience with computer vision, media analysis pipeline is a plus Experience with digital image processing and machine learning.

Responsibilities Design image and video analysis and processing algorithm for multiple applications Implement and optimize video/image analysis and processing algorithm on various platforms (iOS, Android, Linux, and etc)

Minimum Requirement Master degree of image/video processing, computer vision, or machine learning 2+ years of hands-on experience in image/video algorithms and related products Over 4 years’ experience on C/C++, Python or MATLAB

Job Title: Senior Algorithm Engineer Company Name: Kuaishou Job Location: Beijing, China Job Responsibilities: Optimize the Kuaishou Transport Protocol (KTP) for multimedia communication Design and implement high-efficiency algorithm for Video Live, VoD, Real-Time Communication and adaptive streaming Job Requirement: Knowledge of high-level streaming protocols and/or low-level network protocols Experience with mobile networking, and ideally with rate control or congestion control algorithms Knowledge of deep learning is prefereed Experience with NOI、ACM、TopCoder is preferred Experience with UDP based optimization is preferred

Job Responsibilities: Enhance the user experiences by A/B Tests and analyzing data related to VOD and live streaming Support the media team with data insights in order to enhance user experiences and lower the cost Build a robust system for media quality analytics and data monitoring to increase the efficiency in data analyzing Instantly notice the data exceptions, efficiently figure out the causes and put forward solutions by observing the real-time data Job Requirement: 2+ Years as a Data Analyst or in a similar field Deep understanding in Statistics and Machine Learning, capable of handling complicated problems Proficiency in Excel, HQL, Python, R and similar data analyzing tools Good communication and strong logical thinking skills, ability to learn quickly Prior considerations will be given if the candidate shows knowledge of products and technology related to videos and lives

Job Responsibilities: Enhance the experiences of worldwide users in watching videos and lives on our products Design metrics reflecting QoS, build a robust platform for data analytics, support and consistently enhance the data monitoring system and increase the development efficiency in order to provide better experiences for users Build the real-time data analysis pipeline, realize the refined traffic schedule strategy and optimize the traffic cost Job Requirement: Strong programming skills, candidates with experiences in developing tech/app/data architectures will be given prior considerations Deep understanding in the Lambda architecture for big data processing, experiences in using Kafka, Spark, Hive/ES, HBase/Druid, especially Flink and processing big data are highly valued Good command of the computer network, deep understanding in the protocol standard related to the stream media, experiences in the internet topology optimization and mobile network optimization will be a bonus Advanced data product views, strong ability in reflecting complicated and abstract business needs to concrete technical solutions, and strong problem-solving skills

Strong algorithm analysis and implementation skills, proficient with C/C++, Python, or at least one of the main stream coding languages, experienced with parallel programming on GPU, multi-CPU, or multi-machine.

User profile modeling based on KwaiShou massive session and engagement data, user feature including basic profile and commercial tag of interests.

• Apply the state of the art machine learning, data mining in a variety of areas, such as CTR/watch time prediction, user modeling, learning to ranking, etc.

Apply reinforcement learning and deep learning techniques to solve problems in a series of product lines at Kwaishou, e.g., recommender systems, advertising, games, etc.

Proven experience in one or more of the following fields: deep reinforcement learning, game theory, recommender system, computational advertising, natural language processing, large-scale distributed system, etc.

At Kwai, we are conducting cutting-edge AI research for processing and understanding video content to enrich our users'

Here you shall develop yourself along with the fastest-growing IT company in the world, and enjoy free lunch, supper, afternoon tea, and gym.

Analyze and solve problems in the actual business setting, provide technical guidance for business decision

MS degree or above is required, PhD degree on fields related to computer graphics is preferred.

Work experience on computer graphics, rich R&D experience and successful experience of developing a technical product.

Deep understanding of the main fields and directions in computer graphics, has conducted solid research on rendering, modeling, animation or simulation.

Strong algorithm analysis and implementation skills, proficient with C/C++, Python, or at least one of the main stream coding languages, experienced with parallel programming on GPU, multi-CPU, or multi-machine.

Design and optimize computer vision related algorithms in field of Segmentation, Object/Face detection, SLAM, 3D, etc.; ●

Develop new algorithms to improve the image/video quality or enable new photography features; ●

Analyze and solve problems in the actual business setting, provide technical guidance for business decision ●

About the Position At Kwai Seattle AI Lab, we are conducting cutting-edge AI research to serve the real products at company, including but not limit to ranking, recommendation systems/algorithms, ML/DL infrastructure, game AI, model compression, AutoML, large scale training systems, speech/music understanding/generation, computer vision, natural language processing/understanding, etc.

Grow with one the most rapidly growing AI companies worldwide, with your work impacting hundreds of millions of users.

Research experience in academia or industry on computer vision / graphics / machine learning / deep learing.

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype, Skype for Business, and Teams).

Apply machine learning to improve existing and develop new algorithms to improve Skype/Teams real-time collaboration quality and reliability

Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

Our research group aims at making use of this large amount of multi-modal data coming from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical workflow.

In this context, we currently have a new PhD position at the University of Strasbourg that will focus on developing machine learning and computer vision methods to understand the scene of the operating room, recognize the human activities, and analyze the workflow.

The main goals of the project are to build an integrated media database which consists of international TV news videos, Twitter, Sina Weibo, newspaper data, and to develop computational tools to analyze multimodal data.

This integrated database will allow researchers to investigate comprehensive research questions such as inter-media or international news flow and agenda setting.

Special focuses are made on multimodality to understand the effects of audiovisual cues (eg, facial expressions, gestures, tone, iconic visuals) as well as verbal content.

The project builds on a variety of computer vision, audio processing, NLP tools to automatically analyze media content, cluster articles, tweets, news stories from multiple platforms, and detect and track news event trajectories.

The research engineer will work closely with PIs and graduate students to (1) design and develop the computing system and analytic tools and (2) to perform research on intermedia news flow and multimodal communication using our data.

The main goals of the project are to build an integrated media database which consists of international TV news videos, Twitter, Sina Weibo, newspaper data, and to develop computational tools to analyze multimodal data.

This integrated database will allow researchers to investigate comprehensive research questions such as inter-media or international news flow and agenda setting.

Special focuses are made on multimodality to understand the effects of audiovisual cues (eg, facial expressions, gestures, tone, iconic visuals) as well as verbal content.

The project builds on a variety of computer vision, audio processing, NLP tools to automatically analyze media content, cluster articles, tweets, news stories from multiple platforms, and detect and track news event trajectories.

The post-doc will work closely with PIs and graduate students to (1) design and develop the computing system and analytic tools and (2) to perform research on intermedia news flow and multimodal communication using our data.

The Center was created in 2014 to group individual research efforts into multi- and inter-disciplinary teams and to focus research towards industry-related problems to spark innovation.

AC3E is committed to gender diversity and we encourage women applicants to write confidently about their achievements.

The aim of this research is to accommodate Deep Learning techniques to manifold-valued trajectories (and functional data) for the general Human Analytics (pain estimation, emotion classification, action recognition, gait recognition, physical performance assessment, pathology detection, etc.) from 2D and depth video streams, particularly shape data.

The goal is to introduce novel methodological solutions and relevant computational tools to help biologists deeply understand the behavior of live-cells in their surrounding microenvironment.

IIAI is a new research institute with an international, collegial work environment and a team of well-published researchers (25 papers in CVPR 2019) in all our areas of interest.

APPLICATION: Please email all of the following to shadab.khan@inceptioniai.org and cc munawar.hayat@inceptioniai.org: ( 1 ) CV, ( 2 ) Link to relevant papers if any, ( 3 ) Github or dropbox link to your best code samples, ( 4 ) (a) Earliest start date and, (b) longest you can stay in the internship program.

BENEFITS: Competitive tax-free stipend, air tickets, health insurance and free 4* hotel accommodation with breakfast, gym, and swimming pool facilities.

With several pristine fine-sand beaches, multi-ethnic restaurants, a mangrove national park within the city, and mountains a short distance away, Abu Dhabi offers superb opportunities for work and play.

KinaTrax develops a markerless motion capture system that is used by several professional baseball teams to track the kinematics and kinetics of the pitcher and hitter in-game.

The candidate will have the opportunity to lead in the development of ground-breaking augmented reality applications aimed to help elite athletes assess and improve their performances.

Develop machine learning, AI and optimization algorithms to address real-world problems given by the center.

Engage industrial and governmental partners of the center to capture requirements, formulate research problems, and present findings.

Test and evaluate the algorithms, identify their weaknesses and improve them.

Experience and excellent background in machine learning, AI and pattern recognition.

Proficient with programming languages (e.g., Python, Matlab) and ability to build prototype systems at a pace.

Familiar with classical machine learning algorithms and deep learning methods.

Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning frameworks.

Excellent ability to communicate clearly, with the ability to work with a team of researchers and industry.

Track records in publishing in top-ranked journals/conferences Experience on distributed learning, ensemble learning and transfer learning is preferable.

Develop machine learning, AI and optimization algorithms to address real-world problems given by Rolls-Royce.

Engage Rolls-Royce stakeholders to capture requirements, formulate research problems, and present findings.

Test and evaluate the algorithms, identify their weaknesses and improve them.

Experience and excellent background in machine learning, AI and pattern recognition.

Proficient with programming languages (e.g., Python, Matlab) and ability to build prototype systems at a pace.

Familiar with classical machine learning algorithms and deep learning methods.

Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning framework.

Excellent ability to communicate clearly, with the ability to work with a team of researchers and industry.

Track records in publishing in top-ranked journals/conferences

Experience on optimization, time series and transfer learning is preferable

Background in electric engineering would be a plus

4.Expertise and track records in one of the listed fields: probabilistic knowledge extraction and representation, task and behavior planning in uncertain environments or reinforcement learning in robotics.

Familiar with the basic principles of image processing and machine vision algorithms, able to flexibly use operators for image matching, localization, segmentation, edge extraction, defect detection, etc.;

Requirements: 1.Master degree or above, with more than 3 years’ working experience in image processing, pattern recognition, communication, signal processing, etc.;

Responsibilities: 1.Developing perception algorithms in one of the following areas for robotics applications: 2D/3D object detection, multi-object tracking, segmentation, scene understanding and stereo geometry.

Experienced in one of the followings: 1) Multi-sensor fusion and calibration based on lidar/IMU/monocular/stereo 2) Lidar point cloud preprocessing, object detection, tracking, scene understanding and segmentation 3) Object detection and recognition based on deep learning/machine learning algorithms, scene understanding, etc.

Many partners have already expressed their interest for potential applications that could be derived from these 3D data (town and country planning, forest monitoring, glacier monitoring, etc.).

In this context, CNES is offering a postdoc position to conduct an algorithmic study aiming at designing a downstream service that will rely on the 3D data provided by the operational processing chain and generate various products with higher semantics and level of detail (LOD) from a scale varying from LOD 1 to LOD 3 (http://www.gdmc.nl/publications/reports/GISt62.pdf).

The main goal of the project will be to detect buildings from RGBZ data or 3D points clouds, using recent deep learning architectures, and giving a specific attention to : -

The postdoc hired on this project will then be asked to design and evaluate the processing chain, while bringing novel solutions based on recent developments in Deep Learning.

He/she will interact with other services within CNES, namely the services “Image Quality”(QI) for understanding the methods used in the upstream chain, and the “Earth Observation Lab” for understanding the specific needs from potential end-users of this downstream chain.

Proven expertise in machine learning / deep learning AND/OR computer vision AND/OR remote sensing (candidates with all skills will be preferred): convincing arguments should be provided in the cover letter -

Very good oral/written French or English communication abilities Scientific Supervision : Sébastien Lefèvre – sebastien.lefevre@irisa.fr – http://people.irisa.fr/Sebastien.Lefevre Referencessee https://scholar.google.fr/citations?user=C_8NI7IAAAAJ CNES Supervision : Pierre Lassalle – pierre.lassalle@cnes.fr and Simon Baillarin – simon.baillarin@cnes.fr To apply, send ASAP cover letter, CV&

Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

In the future, robotic systems that offer advanced service in the industry, search and rescue services, in medical applications or as assistants to the elderly will become an integral part of society, which means that research in this area is important and contributes with crucial knowledge.

The doctoral degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave).

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together-whether that’s colleagues brainstorming around a giant digital whiteboard, scientists “meeting” on the surface of a virtual Mars, or some yet undreamt-of possibility.

Our team focuses on technologies related to image and video processing, camera calibration, computational photography, motion tracking and 3D reconstruction.

Partner with the architects and the technical leadership team to deliver solid technical designs that satisfy requirements for multiple products and product families 

Participate actively in detailed design, code reviews, bug/issue triage with feature teams and support well informed decisions towards engineering, customer and business goals.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together-whether that’s colleagues brainstorming around a giant digital whiteboard, scientists “meeting” on the surface of a virtual Mars, or some yet undreamt-of possibility.

Our team focuses on technologies related to image and video processing, camera calibration, computational photography, motion tracking and 3D reconstruction.

Partner with the architects and the technical leadership team to deliver solid technical designs that satisfy requirements for multiple products and product families 

Participate actively in detailed design, code reviews, bug/issue triage with feature teams and support well informed decisions towards engineering, customer and business goals.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility.

We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox.

Responsibilities Research, improve, design, implement, bring-up, optimize, and validate cutting-edge human tracking algorithms on low-level, multicore systems Own the quality of your software Work in close partnership with a team of diverse and talented peers in various disciplines including Silicon, Hardware, Program Management and Quality teams Own accurate design and costing for your engineering activities Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals

BS, MSc or PhD in Computer Science or equivalent, advanced degree preferred 4+ years of relevant software design and development experience preferably on shipped consumer products or platforms Deep native development skills in C/C++ design and coding Proven experience working through the full product cycle from initial design to final product Outstanding technical problem solving and debugging skills Excellent optimization skills working in a multi-threaded environment Excellent written and verbal communications skills There are plenty of other skills that aren’t required, but you’ll find useful in this role.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

We are building new machine learning platform, called Adobe Sensei, that powers machine learning and AI across Adobe Cloud product lines by enabling the world’s best creative tools, leading cloud services for managing digital assets and digital experiences and the leading marketplace such as Adobe Stock and Adobe Behance.

Become part of this growing team at Adobe and a phenomenal impact in the area of computer vision, user understanding, language understanding, and digital experience optimization.

For immediate consideration, please visit the iCAD career site @ https://www.icadmed.com/careers.html and apply online using the link below:

The selec­ted Post­doc­toral Fel­low will deve­lop innov­at­ive sci­ent­i­fic rese­arch by strength­en­ing and com­ple­ment­ing the already ongo­ing rese­arch activ­it­ies in the frame­work of the ERC-fun­ded pro­ject: BigE­arth - Accur­ate and Scal­able Pro­ces­sing of Big Data in Earth Obser­va­tion (http://bigearth.eu).

Focus of this pos­i­tion will be on ana­lysis of big data in Earth obser­va­tion, satel­lite image search/retrie­val from mas­sive data archi­ves, machine learn­ing/deep learn­ing.

The GVV group looks at challenging open research problems at the intersection of computer vision, computer graphics and machine learning.

We have pioneered methods in off-line and real-time marker-less motion and performance capture of humans, faces, hands and deformable objects, and have developed entirely new ways for efficient and high-quality inverse rendering.

Very recent examples are the Deep Video Portraits face reenactment algorithm from SIGGRAPH 2018, the Face2Face face capture and reenactment approach from CVPR 2016, the MoFA - model-based face autoencoder from ICCV 2017, the VNect real-time monocular full-body motion capture approach (SIGGRAPH 2017), and the first approach for real-time intrinsic video decomposition (SIGGRAPH 2016).

We generally look into pushing the boundaries of 3D / 4D scene reconstruction in general scenes, capturing for CG content creation, 3D video and telepresence, image-based rendering, and computational photography and videography.

We develop new approaches for machine learning in vision and graphics in particular new ways for combining model-based and learning-based methods.

We are looking for a postdoc to work with us on advancing the state of the art in one of the following areas: high-quality in-the-wild marker-less 4D Human reconstruction and understanding / human 3D pose estimation / marker-less performance capture, and/or neural rendering of humans.

In particular, we look into methods that only require a single camera, for instance based on new ways of deeply integrating machine learning – based and model-based algorithms.

The candidate will design and develop state-of-the-art computer vision and deep learning algorithms for object detection/classification/tracking/segmentation, scene analysis, and localization.

Solving complex real-world challenges in creative, effective and efficient ways that lead to real world implementation.

The challenges can be from crowded scenes, occlusion, low luminance (low light), strong light, and adverse weather conditions including rain, snow and fog.

The candidate will help reconstruct a comprehensive view of detection zones such as an intersection by 3D and video stitching technology.

Communicating and coordinating with relevant team (the China ITS engineering team and the ITS research team at the University of Toronto) during all phases of technology development and technology deployment.

Developing robust software and comprehensive testing protocol for all projects

Planning and managing time, tasks, milestones and resources to meet project objectives.

Excellent hands on experience in: deep learning, convolutional neural networks, graph convolution networks, reinforcement learning and deep reinforcement learning is essential

Hands on experience with the application of computer vision analysis and AI in the field is required.

The GVV group looks at challenging open research problems at the intersection of computer vision, computer graphics and machine learning.

We have pioneered methods in off-line and real-time marker-less motion and performance capture of humans, faces, hands and deformable objects, and have developed entirely new ways for efficient and high-quality inverse rendering.

Very recent examples are the Deep Video Portraits face reenactment algorithm from SIGGRAPH 2018, the Face2Face face capture and reenactment approach from CVPR 2016, the MoFA - model-based face autoencoder from ICCV 2017, the VNect real-time monocular full-body motion capture approach (SIGGRAPH 2017), and the first approach for real-time intrinsic video decomposition (SIGGRAPH 2016).

We generally look into pushing the boundaries of 3D / 4D scene reconstruction in general scenes, capturing for CG content creation, 3D video and telepresence, image-based rendering, and computational photography and videography.

We develop new approaches for machine learning in vision and graphics in particular new ways for combining model-based and learning-based methods.

We are looking for PhD students to work with us on advancing the state of the art in one of the following areas: high-quality in-the-wild marker-less human 3D pose estimation / marker-less performance capture / 4D Human reconstruction and/or neural rendering of humans.

In particular, we look into methods that only require a single camera, for instance based on new ways of deeply integrating machine learning –based and model-based algorithms.

Course work and research experience in one or more of the following areas is desirable: computer vision, machine/deep learning, multi-view / 3D scene reconstruction methods, 4D reconstruction, computer graphics, computer animation, marker-less performance capture, marker-less motion capture, tracking algorithms, 3D Video, virtual / augmented reality.Applicants should have an excellent academic track record.

In real time, updating the fleet command center about local traffic, construction, road conditions , safety and parking (curb intelligence).

followed by the relevant role: (1) A comprehensive CV, (2) Link to representative papers/reports that demonstrate your skills, (3) Include a link to Github profile or send link to sample code bases (in Dropbox/Google drive) developed primarily by you.

You would be responsible for developing custom machine learning systems utilizing state-of-the-art learning algorithms from our comprehensive data sets, and guiding how those ML models impact our growing member base of several million.

The ideal candidate is hands-on in ML algorithms and thrives in a fluid, high-performance entrepreneurial environment with a passion for learning and innovating -- strong knowledge of machine learning methods;

We build products on some of the most advanced tech areas including autonomous systems, sensor fusion, telematics, ADAS, smart cities, medical devices, clean tech and more.

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning.

This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems.

Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training.

The ideal candidate possesses an impressive educational background in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning.

This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems.

The main job responsibility of the candidate will be working with computer vision scientists and engineers to develop, evaluate, and optimize machine learning and deep learning methods for a wide range of computer vision tasks, including face detection/verification/recognition;

Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training.

The ideal candidate possesses an impressive educational background and work experience in using machine learning and deep learning to solve computer vision problems, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

They’re inspired by the newest trends, find the best solutions for the customer, develop the latest and greatest technologies and create the next generation of connected, safe, sustainable and luxurious vehicles.

Development of robust, real time sensor fusion algorithms for localization, object detection, classification and tracking.

Development of machine learning based sensor fusion, object and situation classification systems

Responsible for complex functional development for embedded platforms as part of the autonomous driving effort at MBRDNA.

Development of quantitative evaluation and data visualization systems to evaluate the performance of the sensor fusion algorithms

Adapt algorithms developed by other departments for US-specific purposes, collaborate with other teams and transfer knowledge gained on advanced technology, and integrate software into the overall system through clearly defined interfaces

Proven work experience with algorithm development and software development for sensor fusion and localization

Strong skills in the field of environment perception (Camera, RADAR, LIDAR) and hands-on experience with Driver Assistance Systems and vehicle prototyping Strong skills in Machine Learning techniques

Independent research with record of peer-reviewed publications on environment perception and senor fusion

Experience with automotive data bus systems and components

They’re inspired by the newest trends, find the best solutions for the customer, develop the latest and greatest technologies and create the next generation of connected, safe, sustainable and luxurious vehicles.

Responsible for complex functional development as part of the autonomous driving effort at MBRDNA, including 4-way-stop assist and stop sign assist.

Develop robust real-time algorithms for environment perception, especially for localization and complex functional purposes and develop algorithms that fuse the input from the various sensor systems for environment perception.

Adapt algorithms developed by other departments for US-specific purposes, collaborate with other teams and transfer knowledge gained on advanced technology, and integrate software into the overall system through clearly defined interfaces.

Bachelors + 5 yrs / Masters + 3 yrs / PhD

Proven work experience with algorithm development and software development

Strong skills in the field of environment perception (Camera, RADAR, LIDAR) and hands-on experience with Driver Assistance Systems and vehicle prototyping

Independent research with record of peer-reviewed publications on environment perception and senor fusion

Proven experience with environment perception, camera systems, radars, and state-of-the-art algorithms for environment perception and localization

Experience in the development of real time software for embedded platforms, automotive ECUs, CAN controllers, and positioning systems

Experience with measurement framework including ADTF, automotive ECU A-samples, and automotive basic software frameworks (AUTOSAR)

HERE Technologies Chicago downtown office is looking for a candidate for upcoming summer internship, the role will be developing advanced deep learning technologies for multi-domain imagery data transfer learning or multi-modality sensor-fusion network for detection and classification.

Some of the credentials we are looking for: PhD or MS in Computer Science or Electrical Engineering or related field 1+ year working experience with image processing/computer vision Hands on experience with deep learning frameworks for object detection/classification/semantic segmentation from imagery, lidar or multi-modality Fluent in Python Fluent in C++ on a Linux platform Experience with Pytorch, Tensorflow or other model training software Experience working with open source project/enterprise software is a plus.

We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics

● You will innovate, develop, advance, publish and patent computer vision solutions for object detection, semantic segmentation, motion tracking, depth estimation, 3D reconstruction, image enhancement (including super-resolution), event detection, visual positioning and pose estimation, SLAM, and other scene understanding tasks ● Integrate multi-modal information from multiple sensors, design visual location recognition systems that are robust to variations in the capture conditions and viewpoint changes ● Promote integration of CV, AI, CG and image processing technologies into a computer vision pipeline that will provide superior digital reality experience ● Optimize algorithms for on-device that use reduced memory and run in real-time ● Work with multiple 3rd Party SDKs to integrate computer vision algorithms, AR/VR tracking, and haptics applications to build showcase prototypes ● Publish best-paper quality papers at CVPR, ICCV, WACV, NIPS, ICML, SIGGRAPH, IROS, and similar venues ● Participate to win computer vision challenges ● PhD degree (or close to graduation) in computer vision ● Hands-on experience in deep learning and other machine learning methods ● Send inquiries directly to Prof.

In the mission towards continuously addressing big technical challenges and exploring next-generation product opportunities, Adobe Emerging Product Group (EPG) is looking for self-motivated talent to fit in the position of Machine Learning Scientist/Engineer to help drive forward our mission.

State-of-the-art deep learning methods have recently been proven capable of supporting the diagnostic work of pathologists and we have now reached the point where such algorithms can be implemented in a routine clinical setting.

Furthermore, deep learning approaches have the potential to extract relevant information for the design of predictive and prognostic biomarkers, e.g., tumor-infiltrating lymphocytes, tumor-stroma ratio, etc.

In the PROACTING project (funded by the Dutch Cancer Society (KWF)) we will develop deep learning algorithms that will leverage a large amount of data consisting of histopathology images and corresponding (weak) labels, with the aim of building computer systems that can assist pathologists and oncologists during cancer diagnostics and personalized (neoadjuvant) treatment procedures.

Conditions of employment Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv.

We develop, validate and deploy novel medical image analysis methods, usually based on deep learning technology and focusing on computer-aided diagnosis (CAD).

The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few.

With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries.

The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few.

With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries.

The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few.

With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries.

As a Research Scientist you will be responsible to design, implement and evaluate novel solutions for neural networks pruning which can reduce the heavy inference cost of deep models with a trade-off on performance.

The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few.

With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries.

The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few.

With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries.

As a Research Scientist you will be responsible to design, implement and evaluate novel deep learning solutions for human pose estimation and activity recognition in real world surveillance scenario.

The research topics include but not limited to deep generative modeling, unsupervised representation learning, 3D and spatial-temporal data modeling and analysis, and other supervised visual recognition problems.

As a member of the Autopilot team, you will research, design, implement, optimize and deploy models and algorithms that advance the state of the art in autonomous driving.

You will work together with vision and machine learning scientists on productizing the Vision stack, improving its performance and robustness on a range of embedded platforms.

As a member of the Autopilot Vision team you will research, design, implement, optimize and deploy models and algorithms that advance the state of the art in autonomous driving.

Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, etc.

The research scientists will primarily work in the areas of AI/machine learning and are primarily responsible for developing advanced machine learning models to support complex decision-making.

The positions will allow the candidates to further grow their expertise in AI/machine learning or related areas by working on important data analytics problems in specialized domains, building a strong publication record.

The positions will also enable the candidates to interact with a large team of PhD/MS students in Dr. Qi Yu’s research group (http://www.ist.rit.edu/~qyuvks/) as well as domain experts through multiple research projects.

The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on computational predictive modeling, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others.

The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and/or bioinformatics.

Compared to conventional colour cameras (RGB bands), one could use these shortwave dependencies to design and develop a deep network for object classification, semantic segmentation and scene understanding.

Description of the Job: Do you want to work for two of the world's leading research organisations, live in a city with extremely high standard of living, enjoy pristine beaches and sun all year round, and still carry out ground breaking Machine Learning, Robotics research to solve real-world challenges?

The research will involve the development of self or semi-supervised learning methods to address the significant weakness of most current deep networks, lack of labelled data.

You will work with entirely new input dimensions that are yet to exist and will develop algorithms for such new inputs

Experience developing perception software algorithms with vision and point cloud inputs

Exceptional ability to break-down and present complex problems to small audiences

Be part of an early start-up that's backed by industry leading venture capitalists

We are currently seeking innovative research interns with a passion for technology to develop next-generation head-mounted display and imaging systems at our research location in Redmond, WA.

In particular we welcome PhD students in computer science, applied math, electrical engineering, or similar, with a strong background in machine learning, numerical optimization, computer graphics and computer vision.

Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways.

The ideal candidate is pursuing a PhD in computer vision, machine learning, or statistic and is passionate about enhancing the user experience in virtual reality.

Oculus Research is driving the state of the art forward with breakthrough work in computer vision, advanced optics, eye tracking, mixed reality, and new ways to map the human body.

The Oculus Vision team applies a range of software, computer vision and machine learning techniques to build products that enable new ways for people to connect and share experiences.

Our team is addressing a variety of technical challenges in the areas of advanced optics, real-time image processing, depth sensing, SLAM, sensor fusion, 3D reconstruction and human interaction in the form of hand/face/eye tracking.

The ideal candidate is pursuing a PhD in computer vision, machine learning, or graphics and is passionate about enhancing the user experience in virtual reality.

We are currently seeking exceptional engineers with a proven track record in a computer vision (e.g., segmentation, detection, recognition, tracking, SLAM, visual-inertial odometry, structure from motion and/or 3D reconstruction) to join our Computer Vision team in Zürich.

As a computer vision engineer at Oculus, you'll be solving challenges at the forefront of computer vision that transform virtual reality from dream to reality.

The position requires a PhD in computer science, robotics, computer engineering, or similar areas, and a strong background in software development, modeling, analysis, and system building.

Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways.

Oculus Research is looking for world-class research engineers with interest in developing real-time computer vision systems to take human computer interaction to the next level in our research location in Redmond, WA and Menlo Park, CA.

The focus of this role is on computer vision, machine learning and physically-based modeling as applied to tracking hand pose and interactions with real and virtual objects.

The successful candidate must be an exceptional C/C++ software engineer with a solid understanding of applied mathematics and numerical optimization as used in computer vision, robotics, and computer graphics.

Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways.

The focus of this internship project lies in formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, state estimation, computer vision, reconstruction, object-tracking, human-pose-tracking and large-scale online inference and optimization.

Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways.

The Surreal Vision research group at FRL is looking for the next generation of scientists and engineers to solve the research challenges on the path to building future machine perception enabled technologies.

The aim of this internship project is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, sensor fusion, structure from motion, visual odometry, sensor/display calibration, 3D reconstruction and relocalization.

Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways.

Our research focuses on true solutions to complex tracking problems, delivering novel technologies and algorithms fundamental to future VR and AR systems.

We also welcome students with a passion for working in a strongly collaborative team that spans research across algorithms, hardware design and systems prototyping.

Monogram Orthopaedics is looking for a software engineer with experience in computational geometric modeling to join our very small but motivated team of engineers bringing a new medical device to market.

Monogram Orthopaedics is looking for a software engineer with experience in image processing and/or computer vision to join our very small but motivated team of engineers bringing a new medical device to market.

As part of the team, you will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms ability to understand visual environments and interact with users.

[Responsibilities] include: - Identify areas of differentiation and innovation around mobile camera by leveraging new and existing vision and deep learning algorithms and vision-based user interfaces, - Prototype algorithms and applications in Python, C/C++, - Understand the constraints of mobile systems and use that understanding to deliver feasible and efficient algorithms.

-Hands-on experience in one or more of the following areas: object detection/recognition/tracking, 3D vision, deep learning/CNN, semantic segmentation, optical flow/depth estimation, camera calibration, SLAM, 3D registration/reconstruction/modeling.

We expect the candidate to have finished a doctorate (with grades at least ‘very good’, if obtained within Germany) and to possess an excellent track record of scientific publications.

Qualified academics with an internationally recognized record in research are invited to submit their application with curriculum vitae (scientific and professional experience), a list of publications, a record of teaching activities, a draft of three pages at most on present and planned research, a

record of actively acquired third-party funding, and certificates and documents in electronic form (as a single pdf-file) to the Dean of the Department of Computer Science and Mathematics, by e-mail - bewerbung@fb12.uni-frankfurt.de - until 15 March 2019.

Once our hardware gathers surgical video from operating rooms around the country, our software platform provides detailed performance evaluation using expert reviewers, non-technical crowds, and Artificial Intelligence.

By joining C-SATS, you will become part of a tight-knit, startup-minded team committed to improving medical outcomes and bringing state-of-the-art technology to healthcare.

·Build machine learning models that draw on video, text, audio and other data sources to offer personalized insights for health care

The AI that you build will have both impact and scale: Major medical centers have completed 1.5 million assessments with C-SATS, and they depend on us to ensure the quality of practitioners and the safety of patients.

The desired qualifications include previous experience in deep learning (e.g., pyTorch/TensorFlow), strong programming skills (python, C/C++ ), and understanding of current machine learning approaches and generative models.

We are looking for candidates with a strong academic record or equivalent industrial experience to help us develop real-world AI-based solutions for the Operating Room.

The successful candidates will work with the research group CAMMA and develop new methods for data analytics in the operating room using large and unique video datasets captured during real procedures.

They will be hosted within a novel surgical institute with brand new facilities at the University Hospital of Strasbourg and thereby have direct contact with clinicians, industrial partners and also have access to an exceptional international research environment.

The advanced imaging and microscopy (AIM) trans-NIH resource (https://www.nibib.nih.gov/labs-at-nibib/advanced-imaging-and-microscopy-aim-resource) provides intramural scientists access to next generation light microscopy and home-built instruments.

The continued success of AIM depends critically on computation, as two major challenges facing us are (i) handling and analyzing the multi-terabyte image datasets that we produce with our microscopes;

To support ORNL strategic R&D activities in advanced manufacturing, the ISML group is accepting applications for a research staff member position with expertise in computer vision, image processing, and computational imaging.

Because flaws or suboptimal conditions are common, we are interested in automatically identifying and quantifying geometrical and surface features, characterizing material properties, and monitoring physical and thermal conditions during the manufactured process.

In this context, your work will focus on developing hardware and software computer vision techniques (1) to monitor the manufacturing process in-situ;

You will rely on the combination of spectral imaging, 3D imaging, modeling and simulation, and/or optical designs in order to extract relevant information from the scene.

You will then develop algorithms to extract quantifiable features, eventually converting the algorithm into a trained AI model for in-situ quality control.

The prospective intern will investigate vision techniques for object detection, segmentation and processing of live camera frames and images on desktop, mobile or any other embedded devices.

-Expertise in at least one of following robotics areas (perception, decision making, planning, control, state estimation, human-robot interaction, NLP, simulation, machine learning, and deep learning)

Perception engineer will work on researching and implementing the next generation automotive computer vision and machine learning algorithms on our L4 autonomous driving system.

This project will explore how advances in Generative networks and deep-learning approaches to beautification and stylistic transfer, can be combined to artificially recreate the appearance of professional lighting.

The system will use recordings from one or more viewpoints of a scene with an unknown lighting setup, and will generate a video of the same scene but which a viewer would judge to have been recorded under “three point lighting”.

A unified generative deep learning framework for viewpoint interpolation and inpainting, should effectively blend the observed viewpoints and hallucinated information, to produce a virtual camera feed from otherwise impractical vantage points.

The Multi-Modal Analytics and Architectures (M2A2) group at the Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of multi-modal data processing technologies to address national security and other worldwide challenges.

Our core research competences are computer vision, data analytics, computational modeling, data visualization and architectures, image reconstruction, signal and image processing, electrical engineering, computer science, and mathematics.

In general, M2A2’s activities involve first-class interdisciplinary research with other research groups at ORNL, collaborations with private industry and academic partners across the nation, and mission-specific support for federal research sponsors.

The M2A2 group is accepting applications for a full-time research staff position from applicants proficient in the following technical areas: full motion video processing and analysis, photogrammetry, computer vision, and image processing.

The selected candidate is expected to work closely with other team members in an Agile development framework, which includes the use of version control and high-performance computing tools.

The new staff member will develop new and enhance current tools for automated analysis and visualization of large spatio-temporal multi-modal datasets.

·Provide the Multi-Modal Analytics and Architectures group and the projects’ principal investigators with materials and results for technical proposals, white papers, news articles, technical papers and sponsor reports.

·PhD or Masters with a strong record of research and development in computer vision, photogrammetry, image processing, electrical engineering, computer engineering, computer science, or closely related field where full motion video processing capability is emphasized

The Informatics Institute of the Faculty of Science is inviting applications for a fully funded tenure track position in the field of 3D computer vision and in particular automatic 3D object reconstruction, segmentation and recognition.

As 3D data understanding is in its very early stage, this tenure track project aims for high risk and visionary developments and exploration of automatic interpretation and understanding of 3D visual information.

An interdisciplinary approach is desired as 3D visual information is a merging topic between different research areas: mathematics, physics, computation, machine learning, and computer vision.

The research focusses on how to integrate the real and virtual world to enable realistic (real-time) rendering of 3D worlds for efficient and natural interaction (e.g.

Research topics include, for example, the following: advanced SLAM, camera tracking, dense 3D reconstruction, graphics, photometric synthesis, image intrinsics, realistic inpainting, 3D simulations, 6 DoF object pose estimation, hybrid fusion, motion synthesis, semantic segmentation, and facial animation.

An interdisciplinary approach is necessary as computer vision and graphics are merging topics between different research areas: physics, graphics, machine learning, and computer vision.

Within the Facebook Reality Labs Surreal Vision team, this role focuses on formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, sensor fusion, state estimation, computer vision, large-scale reconstruction and localization, as well as large-scale online inference and optimization.

The focus of this role lies in formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, state estimation, computer vision, reconstruction, and large-scale online inference and optimization.

In this role, there are opportunities to work closely with the Facebook AI research and applied machine learning groups, in addition to the leveraging the exciting team here at FRL, working across cutting edge device technologies in sensing and computational platforms.

The Surreal Vision research group at FRL is seeking exceptional Research Scientists to solve the next generation of research challenges on the path to building future machine perception enabled technologies.

The aim of this role is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, sensor fusion, structure from motion, visual odometry, sensor/display calibration, 3D reconstruction and relocalization.

Founded in 1946, Weichai is a multi-field and multi-industry international group which owns six business segments of powertrain, intelligent logistics, automotive, construction machinery, luxury yacht, and finance &

These positions are responsible for researching and developing advanced data models, imaging processing, machining learning and computer vision algorithms for Weichai products, as well as the application of big data and AI techniques in the whole product life cycle.

Possible topics may include, but are not limited to, integrating motion estimation and high level behavioral tasks such as recognition and action, designing novel core architectures for temporal modeling, exploring novel tasks that improve temporal learning etc.

The successful candidate would be part of the School of Informatics, which includes access to world class equipment in computing and robotics, and one of the largest research communities in Europe with more than 100 faculty and over 400 graduate students.

The desired qualifications include master's degree in computer science or related subjects, previous experience in deep learning and strong programming skills (C++/python, pyTorch/TensorFlow).

The Event-Driven Perception for Robotics (EDPR) Research Line (www.edpr.iit.it) at the iCub facility – Istituto Italiano di Tecnologia (IIT) – is seeking to appoint two postdoctoral fellows in the area of low-latency vision for autonomous robots.

We are looking for talented and enthusiastic postdocs who will join our team to develop algorithms for low-latency and high-speed vision for motion estimation and 3D object tracking.

In particular, the candidates will be in a unique position to exploit recent advances in machine learning and more traditional computer vision techniques, in combination with novel biologically “event-driven” inspired sensors.

UBTECH has successfully developed consumer humanoid robots, robots for business use, and JIMU Robot building kits following breakthroughs made in digital servos, the core part of humanoid robots.

The College of Health Solutions (CHS) at Arizona State University (ASU) seeks a full-time, 9-month, tenure-track faculty member at the rank of associate professor in the area of health economics and data analytics.

The responsibilities for this position include developing and maintaining a successful research program, teaching undergraduate and graduate courses and mentoring students in research, and providing service to the program and university as well as to the community and profession.

Applicants will be expected to conduct data-driven economic analyses for research on health care markets, health insurance, reimbursement schemes, public health and community interventions, and related topics, and support teaching in biomedical informatics, the science of healthcare delivery, and other areas relevant the applicant’s area of expertise.

The successful candidate will collaborate with local, national, and international health organizations on research projects and play an important role in the development and use of the databases in the ASU Center for Health Information &

Biomedical Informatics (BMI) is an evolving, dynamic field recognized as increasingly essential to the advancement of the health industry connecting basic sciences with the practical application of clinical sciences.

Skilled professionals in BMI are able to analyze and translate large amounts of health data into meaningful solutions that improve health care delivery and patient outcomes.

In CHS, BMI academic faculty teach and research in the whole spectrum of biomedical informatics, including bioinformatics, imaging informatics, clinical informatics, and public health informatics, and foster strong partnerships with researchers, clinical practitioners and regional health care providers in the advancement of research and education in the science and practice of biomedical informatics.

Faculty have a presence at Mayo Clinic’s Scottsdale campus and partnerships with many other health organizations, which infuse our degree programs with practical research that mandates clinical relevance and reinforces a standard of excellence and leadership.

The college is highly collaborative, transparent and team-oriented with an innovative organizational structure that includes translational teams, affinity networks, and academic programs to improve the health of people and communities.

The current training programs include behavioral health, biomedical diagnostics, biomedical informatics, executive and continuing education, exercise science, health promotion, health sciences, kinesiology, medical studies, nutrition, population health, the science of health care delivery, and speech and hearing science.

All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law (See ASU’s complete non-discrimination statement and www.asu.edu/titleIX/.)

Applicants with expertise in biomedical informatics and data science, including statistics, artificial intelligence, machine learning, data mining, computer vision, data visualization, natural language processing, and their applications in medicine and healthcare are encouraged.

Responsibilities for this position include developing and maintaining a successful research program, teaching undergraduate and graduate courses and mentoring students in research, and providing service to the program and university as well as to the community and profession.

The ideal candidate will present evidence of a successful research trajectory, including a strong publication record and evidence of funding, and a strong commitment to high quality teaching and student mentoring.

The candidate will be excited by the opportunity to develop research programs with significant collaborations and translate discoveries into the practice for the improvement of patient care.

Biomedical Informatics (BMI) is an evolving, dynamic field recognized as increasingly essential to the advancement of the health industry connecting basic sciences with the practical application of clinical sciences.

Skilled professionals in BMI are able to analyze and translate large amounts of health data into meaningful solutions that improve health care delivery and patient outcomes.

In CHS, BMI academic faculty teach and research in the whole spectrum of biomedical informatics, including bioinformatics, imaging informatics, clinical informatics, and public health informatics, and foster strong partnerships with researchers, clinical practitioners and regional health care providers in the advancement of research and education in the science and practice of biomedical informatics.

Faculty have a presence at Mayo Clinic’s Scottsdale campus and partnerships with many other health organizations, which infuse our degree programs with practical research that mandates clinical relevance and reinforces a standard of excellence and leadership.

The college is highly collaborative, transparent and team-oriented with an innovative organizational structure that includes translational teams, affinity networks, and academic programs to improve the health of people and communities.

The current training programs include behavioral health, biomedical diagnostics, biomedical informatics, executive and continuing education, exercise science, health promotion, health sciences, kinesiology, medical studies, nutrition, population health, the science of health care delivery, and speech and hearing science.

·Demonstrated expertise and knowledge in biomedical informatics and data science, including statistics, artificial intelligence, machine learning, data mining, computer vision, data visualization, natural language processing, and their applications in medicine and healthcare

All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law (See ASU’s complete non-discrimination statement and www.asu.edu/titleIX/.)

VGM lab is opening a postdoc position to work on dynamic 3D scene understanding with topics related to semantic simultaneous localization and mapping (S-SLAM) and semantic structure from motion (S-SfM) which are core research themes of the Lab (Crocco et al., CVPR 2016), (Magerand &

As these previous works mainly deal with static scenes, the VGM lab will push forward these activities developing computational methods for geometric and semantic understanding in challenging dynamic and non-rigid environments.

The key aspect of the research carried at VGM will focus on the fusion of state of the art deep architectures with 3D reasoning from multi-view images or RGBD data.

Topics include 6D object pose estimation, 3D object detection and tracking, GANs, data augmentation, face, deep reinforcement learning, robotics.

If you are interested, please send me an email titled ‘phd application 2019’, where you include your CV, fee status (home/eu or overseas), and the earliest starting date.

We're currently looking for talented researchers to join our world-class team devising state-of-the-art deep learning systems for 3D shape synthesis.

Suitable candidates will have: (1) PhD or Master's in related field (2) Demonstrable experience designing and developing deep learning algorithms for computer vision (3) Mathematical understanding of at least one deep neural network (4) Programming skills in Python (5) Expertise in TensorFlow, Keras or PyTorch.

Zillow’s Rich Media Experiences (RMX) team employs computer vision, 3D, and deep learning to invent the technology that enables Zillow's customers to make sense of homes information in order to find their dream home.

We are seeking several Applied Scientists, Machine Learning Engineers, and Designers to build spatial understanding algorithms and deep learning models that power immersive media experiences for buyers and renters.

The technology focuses are deep learning, medical image analysis and large-scale clinical informatics in the domains of quantitative imaging, precision medicine and preventive medicine.

We commit to create an R&D environment where top-tier computer scientists and world-class clinicians can seamlessly collaborate and work together to tackle human health problems.

We believe that is the best way of moving health forward and we have established in-depth main partnerships with two world leading hospitals and beyond.

Good understanding and problem-solving experiences in computer vision, deep learning, statistical machine learning (medical imaging is a plus but not a must requirement).

In this role, you will be responsible for extracting semantic information relevant for driving from our radar images, such as cars, pedestrians, curbs and drivable areas.

the opportunity to work in an excellent research environment and collaborate with leading researchers in machine learning, robotics and computer vision

a research statement and proposal (max 3 pages) on any of the topics indicated above or another area of computer vision and or machine learning

Strong background in Computer Vision, Machine Learning, and Image/Video Processing (detection, tracking, classification, online learning, active learning, deep learning, event analysis, etc.)

Experience programming and developing on GPUs or other embedded systems

Hands-on experience working on problems related to semantic/instance segmentation, LIDAR/RADAR data processing, multi-sensor fusion, scene understanding, and driving datasets.

The candidate will work with passionate computer vision and robotics experts tackling real-world challenging problems daily, such as real-time 3D sensing, SLAM, industrial object recognition and pose pose estimation, camera calibration, etc.

We are opening a new research lab in Silicon Valley (CA), aiming for fundamental, transformative research and development, specifically in the area of computational photography, computational imaging, multi-sensor fusion, and 3D vision, with applications in mobile image quality enhancement, AR/VR, and autonomous driving.

We are opening a new research lab in Silicon Valley (CA), aiming for fundamental, transformative research and development, specifically in the area of computational photography, computational imaging, multi-sensor fusion, and 3D vision, with applications in mobile image quality enhancement, AR/VR, and autonomous driving.

You will implement, optimize, and benchmark latest computer vision and machine learning algorithms according to computation, memory, power constraints;

build tools that will increase the productivity of teams Initiate and implement novel product ideas by actively integrating research algorithms with customers'

stay up to date with the latest research and innovations in deep learning, computer vision, and computational photography Senior levels will lead multiple research engineering projects and manage the engineering team to meet the delivery schedule.

We are opening a new research lab in Silicon Valley (CA), aiming for fundamental, transformative research and development, specifically in the area of computational photography, computational imaging, multi-sensor fusion, and 3D vision, with applications in mobile image quality enhancement, AR/VR, and autonomous driving.

You will stay up to date with latest research frontier, design and implement innovative solutions for challenging problems from real products, build prototype demos on mobile platforms, and work with engineers and interns to transfer your new technologies to product teams.

Nokia Bell Labs is a global research community which has been changing the world of information technology for more than a century through the release of breakthrough inventions such as modern information theory, the transistor, the laser and the UNIX operating system.

We are searching for an Early Stage Researcher (ESR) willing to develop a full PhD in an industrial environment within this project, focused on the real time immersive video (360/VR/AR) on top of dense 5G networks.

The work will address one or several steps of a multimedia communication process within this scenario: multi-camera capture, real-time video analysis (machine learning) on the network edge, optimization of video transmission under low-latency networks, rendering of complex XR environments, analysis of QoE.

Other relevant technology areas which are considered positive for this position are: mobile network architecture, distributed media processing, edge computing and virtualization (cloud computing).

At the time of appointment, applicants may not have resided or carried out their main activity (work, studies) in Spain for more than 12 months in the 3 years immediately before their recruitment.

Early-Stage Researchers (ESRs) must, at the date of recruitment by the beneficiary, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.

In detail, we are looking for motivated researchers to investigate how traditional 3D vision methods can be improved using modern machine learning techniques.

This exciting research opportunity has arisen directly from the ground-breaking research undertaken by Prof Dame Sue Black in relation to the forensic identification of individuals from images of their anatomy that are captured primarily within IIOC (indecent images of children).

To assess the evidential robustness of hand identification in the court room requires that the degree of ‘uniqueness’ in the human hand be assessed through large volume image analysis.

The research opens up the opportunity to develop new and exciting biometric capabilities that have a wide range of real-world application, from security access through to border control whilst assisting the investigation of serious and organised crime on a global level.

H-unique is a five year, €2.5M programme of research and will be the first multimodal automated interrogation of visible hand anatomy, through analysis and interpretation of human variation.

We will investigate inherent and acquired variation in search of uniqueness, as the hand retains and displays a multiplicity of anatomical variants formed by different aetiologies (genetics, development, environment, accident etc).

We will pioneer the development of new methods that will release the full extent of variation locked within the visible anatomy of the human hand and reconstruct its discriminatory profile as a retro-engineered multimodal biometric.

A significant step change is required in the science to both reliably and repeatably extract and compare anatomical information from large numbers of images especially when the hand is not in a standard position or when either the resolution or lighting in the image is not ideal.

Through citizen engagement with science, this research will collect images from over 5,000 participants, creating an active, open source, ground-truth dataset.

It will examine and address the effects of variable image conditions on data extraction and will design algorithms that permit auto-pattern searching across large numbers of stored images of variable quality.

We are excited to announce the postdoc job opening for a new project on developing deep learning models to predict and compensate biomaterial inconsistency in 2D printing.

We are seeking a postdoctoral fellow to work on a research project related to deep learning models applied to biomaterial deformation predictions.

Apply the developed theory and algorithms to advance the performance of multimedia applications, such as computer vision, augmented reality, natural language processing, or speech processing.

followed by the relevant role: (1) A comprehensive CV, (2) Link to representative papers/reports that demonstrate your skills, (3) Include a link to Github profile or send link to sample code bases (in Dropbox/Google drive) developed primarily by you.

We strive to become China’s leading smart mobility company by creating world-class smart vehicles through an integrated value chain that will benefit the country, the consumers, the company and the individual.

WeRide.ai recently closed Series A funding round led by Alliance Ventures, the strategic venture capital arm of Renault-Nissan-Mitsubishi, and we're looking for a Senior Software Engineer to join our Onboard Infrastructure team and help building the next generation of the autonomous driving platform.

·Previous experience in developing automotive vision a plus (lane tracking, vehicle detection and tracking, traffic light/sign detection, ground plane estimation)

·Understanding of ADAS sensors such as radar, camera, ultrasonic, and lidar, including the measurement and data-reduction, target identification and environmental synthesis, and sensor fusion

JD’s X Division (JD-X) is responsible for the development of automated fulfillment capabilities including warehouse automation technologies such as warehouse transportation and manipulation robots, autonomous ground delivery vehicles and autonomous aerial delivery vehicles (i.e.

The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a postdoctoral researcher in deep learning for computer vision in surgical robotics, to be appointed as soon as possible, on a contract ending Dec 31 2020.

The Visual Artificial Intelligence Laboratory (http://cms.brookes.ac.uk/staff/FabioCuzzolin/) has established itself as one of the top research groups in the world in deep learning for action detection, conducting work at the current boundaries of human action recognition.

Our algorithms hold the best detection accuracies to date, and the team recently designed the first system so far able to localise multiple actions on the image plane in (better than) real time (52fps) on a single GPU.

At IIAI, scientists and engineers work together to solve complex problems and we seek a team player who has prior experience in working interdependently.

RESEARCH INTERN applicants are expected to be matriculated PhD students who have taken courses in CV/ML/NLP, and have strong fundamentals in related areas such as probability theory and linear algebra.

Our employees and interns benefit from an international, collegial work environment and abundance of availability of experts (>40 scientists and increasing) in all areas of computer vision.

ABU DHABI: Capital of UAE, Abu Dhabi is a family-friendly city that offers the right balance between megacity-convenience in a small-town liberal setting with easy access to two major international airports (Abu Dhabi and Dubai) offering non-stop flights to all parts of the world.

With several pristine beaches, world-class restaurants, a mangrove national park within the city and mountains a short distance away, Abu Dhabi offers superb opportunities for work and play.

A willingness to gain stronger software engineering knowledge and deep expertise in C++ and/or python is required Strong leadership skills suitable for recruiting, leading and managing a team of engineers to solve a challenging problem and build a critical component of a real-time system Strong theoretical and applied knowledge of relevant subsets of detection algorithms Strong desire for candidates with hands on experience that have deployed real products or platforms into the real world and intimately understand the challenges of working with complex systems Strong presentation and communication skills are desired Please check website for full job description.

We are looking for hands on candidates who can set the vision for, grow, and lead a strong technical team with a mix of vision, probabilistic filtering and LiDAR algorithm experience and strong software experience.

We are looking for a team lead who will be deep in code, and is technically strong in software and strong in tracking algorithms -- segmentation, clustering, data association, multi-extended object tracking and filtering, MHT or other registration algorithms.

Leading the team to advance the algorithmic performance through pragmatic and rigorous A vs B evaluations using a mix of state of the art or “classical” techniques

Coordinate with data collection to select and label relevant data to improve our tracking algorithms and develop metrics by which the tracking system is evaluated

interpretable machine learning, learning from limited training data, cell segmentation and tracking, and integrated analysis of imaging and omics data.

JD’s X Division (JD-X) is responsible for the development of automated fulfillment capabilities including warehouse automation technologies such as warehouse transportation and manipulation robots, autonomous ground delivery vehicles and autonomous aerial delivery vehicles (i.e.

MS/PhD degree and 5+ years of industry experience Experienced in localization, mapping, computer vision, visual geometry, LIDAR perception, SLAM, or relevant field.

We look for hands-on candidates who are excited about building state-of-the-art real-time computer vision systems to solve a wide range of problems in robotic surgery.

We are looking for full time computer vision software engineer with strong c++ programming skills to deploy state of the art computer vision and machine learning techniques that running on the edge in real-time.

+2 years experience in Machine learning and deep learning development knowledge for mobile phone application that runs in real time such as CoreML for iOS.

As we grow in scope and ambition in 2019, we invite highly motivated, world class computer vision researchers to apply to join us.

Open positions: junior/senior computer vision researcher/engineer ( https://lnkd.in/gq_4aCR ) junior/senior machine learning researcher/engineer ( https://lnkd.in/gx_J8-u ) Senior Computer Vision Researcher (Face recognition) ( https://lnkd.in/gAFpkv6 ) Applied A.I.

As we grow in scope and ambition in 2019, we invite highly motivated, world class computer vision researchers to apply to join us.

Open positions: junior/senior computer vision researcher/engineer ( https://lnkd.in/gq_4aCR ) junior/senior machine learning researcher/engineer ( https://lnkd.in/gx_J8-u ) Senior Computer Vision Researcher (Face recognition) ( https://lnkd.in/gAFpkv6 ) Applied A.I.

From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society.

If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you.

The position will be expected to seek and champion new business opportunities based around the technical capabilities of the group, work with government and commercial clients to develop solutions to their requirements leveraging real-time vision capabilities, and work with technical staff and technology to develop new state of the art technologies that can be exploited to bring in new business opportunities.

In this 3-6 month paid PhD internship you will have the opportunity to work on research in a startup environment, tackling problems related to city-scale localisation.

Therefore, applying side information such as expert knowledge about the dependencies between different features of the dynamic can greatly reduce the computational expenses and improve the accuracy.

The newly founded Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for PhD students to apply modern mathematical tools to machine learning problems and thus, going the next important step in making the human dream of autonomous driving a reality

The Deep Learning group at the Bosch Center for Artificial Intelligence (BCAI) provides the opportunity for PhD students in the field of machine learning to perform an industry sabbatical for 3 - 12 months.

Bosch, as one of the worldwide leading companies in the field of autonomous driving provides a unique experience to see where state-of-the-art AI techniques can be applied for the mobility of the future.

At BCAI we build the foundation to generate real-world impact through cutting edge deep learning, with a strong focus on making neural networks for perception more safe, robust, and explainable.

We are looking for a research intern (for spring/summer 2019) to explore a project in the areas of neural network model compression, model pruning, efficient architecture design/search, and applications to computer vision tasks such as classification and segmentation.

As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe’s product line, and consequently reaching millions of computer users worldwide.

The ideal candidates should be in a MS/PhD program in a university focusing on deep learning and computer vision, and have hands-on experience on training neural network models for vision tasks such as classification and semantic segmentation, and have interest in developing efficient model architectures.

We are looking for full time computer vision software engineer with experience to develop iOS/Android applications that deploys state of the art computer vision and machine learning techniques that running on the edge in real-time.

+2 years experience in Computer vision and image processing libraries for mobile application knowledge such as openCV for iOS and GPU-Image, OpenGl for iOS libraries besides Objective-C and/or Swift for iOS;

+2 years experience in Machine learning and deep learning development knowledge for mobile phone application that runs in real time such as CoreML for iOS, Tensorflow Lite, MobileNet V2,

Interns will be able to explore their own ideas to address challenging real-world computer vision problems, and will be encouraged to publish the results of their work in academic papers submitted to premier conferences.

In addition, interns can also focus on contributing high-quality software to the KWIVER platform (http://www.kwiver.org/), an exciting, open source, and versatile platform for computer vision research and development.

Project Areas: Algorithms: Deep learning and other computer vision methods for object detection, change detection, scene classification, event/activity recognition, 3D reconstruction from aerial imagery, video/image understanding, video/image search, and indexing, etc - Data: Images and videos from ground, handheld, aerial, or satellite cameras - Infrastructure: Opportunity to work on deep learning libraries like Caffe, PyTorch or Tensorflow;

Research experience in one or more of the following: computer vision, image processing, video analysis, machine learning, deep learning, and related areas.

Hands-on experience in researching the use of deep learning for solving problems in computer vision such as face recognition, object detection/localization, scene understanding.

There are also opportunities to collaborate on broader computer vision topics including content-based indexing and retrieval, object detection and tracking, video event and activity recognition, functional object recognition, social media understanding, video compression, and super resolution.

By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others.

By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others.

Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.

followed by the relevant role: (1) A comprehensive CV, (2) Link to representative papers/reports that demonstrate your skills, (3) Include a link to Github profile or send link to sample code bases (in Dropbox/Google drive) developed primarily by you.

We are looking for computer vision engineers that can develop AI algorithms to completely and reliably replace the human pilot, only bound by the laws of nature, rules of the air and constraint of budget.

Successful candidates will conduct teaching, research and service to make HBKU a world-class research university and collaborate with faculty members and students to create a vibrant university community that will positively impact and contribute to the development of Qatar and the region by advancing knowledge in their field and developing human capacity through their teaching.

From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society.

If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you.

We currently have full time and intern opportunities available for different areas in Computer Vision, Robotics, AI and Machine Learning including: computational sensing, 2D/3D reasoning, vision analytics, explainable AI, life-long learning and human behavior modeling.

We are bringing together DuPont Crop Protection, DuPont Pioneer and Dow AgroSciences to create a market-shaping, standalone agriculture company with leading positions in seed technologies, crop protection and digital agriculture.

This position will be primarily geared towards application of machine learning/deep learning-based methods for image segmentation, object detection and classification of images from labs and field for accurate plant phenotyping.

There is an immediate opening for 2 intern candidates who will play a role in configuring deep learning environment, agricultural data-preparation, data-visualization &

The intern candidate should demonstrate projects in the field of computer vision, pattern recognition, and/or machine learning with strong programming skills in C/C++ and Python.

Students who have strong understanding of generative modeling, image embeddings, bayesian analysis, deep learning on graphs, active learning etc are particularly encouraged to apply.

1) CV 2) Any prior papers or project reports that outline your experience (if available) 3) If you have a GitHub profile, please include a link or upload code samples, that best demonstrate your coding abilities, to dropbox or google drive and include a link.

Interns will benefit from an international, collegial work environment and abundance of availability of experts (>40 scientists and increasing) in pretty much all areas of computer vision.

Niantic's Research and Development team is seeking post-MSc or PhD-students, who are passionate about inventing new algorithms, to join us for a 3-month research internship to work on computer vision and learning, alongside our growing team of researchers in central London.

The projects you will work on fit under the broad umbrella of artificial intelligence for augmented reality, including deep or shallow machine learning models, tracking, 3D reconstruction, localization, and graphics for mixed reality.

You will discover ways to automatically understand imagery and/or telemetry from the real world, to track, reconstruct, localize, synthesize, or recognize more accurately or more efficiently.

You will work alongside our other researchers, accepting help and aiding others, to make discoveries that will eventually help the Niantic Real World Platform, as it gets deployed for Niantic and outside developers alike.

Completed the requirements for an MSc and/or are enrolled in a PhD program, in computer science or a related field, with focus on computer vision, robotics, AR, or machine learning.

Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.

CVTE Research is the fundamental and applied research department of CVTE, aiming at supporting the company’s technology novelty and development.******* At CVTE Research, the algorithm is usually combined with the scene, and achievements can often be used in the actual product to directly see the industrial value brought by your results, e.g.

The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems.

The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs.

The position requires a proven innovative track record in the related fields of algorithm development, statistical data analysis and signal processing, image analysis and machine learning.

The candidate should have a background in engineering/math/physics and be comfortable and conversant in a range of disciplines from optics, information and noise analysis, solving optimization problems (forward and inverse).

The Algorithms Scientist will produce mathematical formulations, develop modeling tools, and perform data analysis and capability predictions on a variety of metrology technologies.

The candidate should demonstrate ability to develop complex data analysis algorithms, software codes that can be used by others, understanding of experimental data analysis, and ability to guide others.

The research topics include but not limited to deep generative modeling, unsupervised representation learning, 3D and spatial-temporal data modeling and analysis, and other supervised visual recognition problems.

We pair digitized pathology slides with clinical notes and our machine learning algorithms to allow pathologists to diagnose cancer faster and more accurately.

You will have the opportunities to deliver advanced AI technologies to different stage of our retail operation process, so as to empower the next generation retail business operation and shopping experiences.

UC is seeking a strong C++ R&D Engineer to support research and product development in multiple areas, including computer vision, machine learning, controls and estimation applications for the air and maritime domains.

Senior Software Engineer, Java/Kotlin Backend, Transportation Platform

Argo AI was founded to tackle one of the most challenging applications in computer science, robotics and artificial intelligence with self-driving vehicles.