Job Board

Responsibilities
● Conduct research on cutting-edge computer graphics techniques. Design and optimize CG-related algorithms for mobile/cloud-based AR/VR applications.
● Collaborate with product/engineering teams to transfer research projects into products and make iterative improvements.
● Analyze and solve technical problems in the actual business setting, provide technical guidance for business decision.

Required Qualifications
● MS or PhD degree on fields related to computer graphics.
● Rich R&D experience in CG topics, including but not limited to rendering, modeling, animation and simulation.
● Proficient in C/C++/Python; Experienced with parallel programming on GPU, multi-CPU, or multi-machine.

Preferred Qualifications
● Practical experience in designing computer graphics systems for industrial applications.
● Publications in top conferences/journals such as SIGGRAPH, SIGGRAPH Asia, Eurographics, ACM TOG, T-VCG.
● Award winner in prestigeous competitions on coding/algorithm such as ACM ICPC.

Description
Responsible for the technical research and development of visual search-related products, and provide high-quality visual processing capabilities for the video search business.

Responsibilities
● Research and develop image content understanding and search-related technologies, including object detection, image recognition, image and text generation, cross-modal retrieval of image and text, image retrieval, feature quantification, large-scale KNN algorithm, etc.
● Research and develop video understanding related technologies, including video classification, video fingerprinting, video cutting, video highlights, video cover generation, etc.
● Research and develop multi-modal content understanding related technologies, including multi-modal content classification, multi-modal feature learning, etc.
● Track latest research in the field of computer vision and multi-modal content understanding, carry out research on cutting-edge technologies and apply the technology to application scenarios such as image recognition, image search, video search, and recommendation.

Qualifications
● Master degree or above in computer vision, pattern recognition, machine learning, or other related majors.
● Proficiency in C/C++, Python, with a deep understanding of data structure and algorithm design.
● Familiar with at least one deep learning framework: PyTorch. Tensorflow, paddle paddle, etc.
● 3+ years of experience in computer vision, pattern recognition, image processing, or related fields.
● Candidates with publications in relevant international conferences( CVPR/ICCV/EC CV/ICML/NIP) or won excellent places in international CV competitions (Kaggle/ ImageNet/Webvision) are preferred.
● Strong teamwork, communication skills, passion, productivity, and self-learning ability.

Description
Kuaishou is desired to build a community where people across the globe have the power to share their lives, what they care about, and build connections with one another. Working at the intersection of cutting-edge technology and boundless creativity, we are building and improving the ability to have a better understanding for both creators and views. Together we explore new ideas, deal with practical problems and have fun.

Responsibilities
● Take parting in algorithm design and system development for video/live content understanding.
● Face challenges in short-form video content understanding to promote user experience
● Explore state-of-the-art approaches in multimodal content understanding, and apply them to products or produce papers
● Experience developing new tags and embeddings based on the content of short videos, and apply them to the recommendation, product teams, and operations teams
● Focus on video classification, multimodality fusion, image-text consistency classification, and apply them to the current video content understanding system, optimize the results of recommendation and search
● Observe exist problems in the community, and propose a feasible solution to promote user experience

Qualifications
● Master's of Science degree in Computer Science or other related fields, and experience in some of the following areas: Computer Vision, Natural Language Processing, Multimodal Deep Learning or Reinforcement Learning.
● Solid programming skills, familiarity with Python/C++/Java and frameworks (TensorFlow/PyTorch), engineer experience are preferred
● Publications in relevant international conferences or mainstream journals will be a plus
● Sensitivity to state-of-the-art technologies, good technology vision, collaborative, with good communication skills.
● Experience applying video content understanding to the recommendation, search and advertising are preferred

Responsibilities
● Conduct research on cutting-edge computer graphics techniques. Design and optimize CG-related algorithms for mobile/cloud-based AR/VR applications.
● Collaborate with product/engineering teams to translate research projects into products and make iterative improvements.
● Analyze and solve technical problems in the actual business setting, provide technical guidance for business decision.
Required Qualifications
● MS or PhD degree on fields related to computer graphics.
● Rich R&D experience in CG topics such as rendering, modeling, animation or simulation.
● Proficient in C/C++/Python; Experienced with parallel programming on GPU, multi-CPU, or multi-machine.
Preferred Qualifications
● Practical experience in designing computer graphics systems for industrial applications.
● Publications in top conferences/journals such as SIGGRAPH, SIGGRAPH Asia, Eurographics, ACM TOG, T-VCG.
● Award winner in prestigeous competitions on coding/algorithm such as ACM ICPC.

Responsibilities
● Design and optimize CV algorithms in the fields of enhancement, classification, detection, segmentation, GAN, 3D vision, AR/VR, etc.
● Collaborate with product/engineering teams to translate research projects into products and make iterative improvements.
Required Qualifications
● MS or PhD in Mathematics, CS, EE or related fields.
● Excellent programming skills in Python, C and/or C++.
● Familiar with Pytorch/Tensorflow, etc.
Preferred Qualifications
● Practical experience in designing computer vision systems for industrial applications.
● Publications in top conferences/journals, e.g. ICCV/ECCV/CVPR, ICLR/NeurIPS/ICML, T-PAMI/IJCV/JMLR, etc.
● Prize winner in ACM ICPC, IOI, Kaggle or other related competitions.

Computer Vision Research Associate position available at Qualcomm based in San Diego. Ph.D. is preferred. More details at https://qualcomm.wd5.myworkdayjobs.com/External/job/San-Diego/Research-…

If interested, please apply online and contact Dr. Gao at dgao@qti.qualcomm.com.

The Department of Computer Science and Engineering at IIT Jodhpur, India invites applications for faculty positions at all levels. Candidates should have a PhD degree in CSE, or a related field. The candidates are expected to have excellent research track record and commitment towards teaching. While we encourage candidates from all areas of CSE to apply, special emphasis will be given to the following areas: Algorithms, Computer Graphics, Animation, Augmented and Virtual Reality, Data Visualisation, Computer Vision, Human Machine Interface, Artificial Intelligence and Machine Learning, Natural Language Understanding, Autonomous Systems, High Performance Computing, Parallel Programming, GPU Programming, Distributed Systems. In addition, we strongly encourage strong candidates from all areas of CSE to apply.

About IIT Jodhpur: IITJ has a sprawling campus of over 850+ acres with 2600 students and 220+ faculty members. The department of CSE coordinates the BTech, MTech and MTech-PhD programs in CSE and AI, along with PhD in CSE. More details about the department can be found at https://cse.iitj.ac.in/. The institute also houses the Technology and Innovation Hub on CV, AR and VR and recently launched AIDE school (http://aide.iitj.ac.in/).

We offer salary and benefits as per the norms of the central government. Benefits include relocation expenses, maternity/paternity leaves, a generous initiation grant, PhD student support, on campus housing (if available), access to on-campus medical facilities, access to on-campus sports facilities etc. In case of any clarification, candidates may reach out to head_cse@iitj.ac.in. Interested candidates are encouraged to apply via https://oa.iitj.ac.in/OA_REC_Faculty/.

Customer Reviews, Deals and Content Moderation are community driven experiences that are key to the Amazon experience worldwide. Join the applied research team in Berlin, Germany supporting Community Shopping and driving the customer experience for these important programs.

This is a rewarding role where the problems are real, with tangible customer impact. The work sits at the intersection of research and engineering, driving better quality in our reviews corpus, ensuring appropriate content across customer-submitted images and video at massive scale. As the Senior Applied Scientist on the team, you will take the lead to design and build multi-modal CV/NLP models. You will partner closely with our engineering teams to develop novel algorithms, present your work to product and engineering teams at Amazon, publish scientific papers and apply for patents for your inventions.

We are an applied research group in Berlin, Germany creating novel solutions in collaboration with product and engineering teams at the core of some of Amazon’s biggest and most engaged systems. If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions for all levels of experience and this is what we are looking for:

Major Responsibilities:

· Design, implement and evaluate state-of-the-art computer vision and ML algorithms
· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems
· Collaborate closely with engineers to drive systems from prototyping to production level
· Publish and present your work at internal and external scientific avenues

Basic Qualfications:

· PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
· Broad knowledge of fundamentals and state-of-the-art in computer vision/machine learning
· Coding skills in one or more programming languages such as Python, Scala, Java, C, C++
· Proven track record of successful models and practical implementation
· Prior work experience on a multidisciplinary team of scientists and engineers, understand business requirements and make the right trade-offs

Preferred Qualifications:

· Hands-on experience with popular ML frameworks such as MxNet or PyTorch
· 5+ years of practical experience applying machine learning to solve complex problems in an applied environment
· Proven track record in technically leading and mentoring scientists
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
· Familiarity with AWS services such as SageMaker is considered a plus

You can apply here: https://www.amazon.jobs/en/jobs/1569282/senior-applied-scientist-comput… or reach out to via email if you have questions!

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world challenges, and provide visible benefit to end-users, this is your opportunity.

Come work on the Prime Air team!

We're looking for an outstanding Applied Scientist who combines superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch scientists. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!

Export License: This position may require a deemed export license for compliance with applicable laws and regulations. Placement is contingent on ’s ability to apply for and obtain an export license on your behalf.

Basic Qualifications we are looking for:

· PhD or equivalent Master's Degree plus 4+ years of experience in Computer Science, EE, signal or related field
· Expert knowledge of computer vision or sensor signal processing
· Experience applying machine learning to practical problems
· Experience with Deep Learning
· Experience with hardware/ integration and real-time systems
· Strong coding skills in, at least, one modern programming language such as C++ or Python

Preferred Qualifications:

· PhD in Computer Science or related field
· Programming in C++ in an industrial setting
· Strong verbal and written communication skills
· Excellent problem-solving ability
· Experience building complex /hardware mission-critical that have been successfully delivered to customers at scale
· Experience with real-time embedded systems
· Knowledge of engineering practices and patterns for the full /hardware/networks life cycle, including coding standards, code reviews, source management, processes, testing and live operations
· Experience communicating with various teams to collect requirements, describe product features and technical designs

You can apply directly here: https://www.amazon.jobs/en/jobs/1532809/applied-scientist-prime-air-com… or reach out via email if you have questions.

We are a computer vision research group in Berlin, Germany creating innovative solutions in collaboration with product teams all across Amazon for some of the most visible and exciting problems out there. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact in multiple application domains, such Visual UIs for Search and Discovery, Product Identification in Images, Semantic Visual Understanding of the Product Catalog, Accessibility, Diversity and Video Understanding.

If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions in Berlin for all levels of experience and this is what we are looking for:

Major Responsibilities:

- Research, design, implement and evaluate novel computer vision algorithms
- Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields
- Collaborate closely with stakeholders, researchers and engineers to drive systems from prototyping to production level
- Collaborate with teams spread all around the world

Basic Qualifications:
- A master of science or PhD in computer vision/machine learning or related experience
- Broad knowledge of fundamentals in computer vision/machine learning
- Coding skills in two or more programming languages such as Python, C, C++, Java etc.
- Living in or willing to relocate to Berlin, Germany

Preferred Qualifications:
- Experience in publishing at computer science conferences or journals
- Hands-on experience with popular deep learning frameworks
- Hands-on experience with Python
- Strong verbal and written communication

You can apply directly via our jobs page: https://www.amazon.jobs/en/jobs/1588715 or reach out via email if you have questions.

Harvard Postdoctoral Fellowship in Machine Learning Modeling for Eye Diseases
A postdoctoral position is available in Harvard Ophthalmology AI Lab (https://ophai.hms.harvard.edu) under the supervision of Dr. Mengyu Wang (https://ophai.hms.harvard.edu/team/dr-wang/) at Schepens Eye Research Institute of Massachusetts Eye and Ear and Harvard Medical School. The start date is flexible, with a preference for candidates capable of starting in September 2021. The initial appointment will be for one year with the possibility of extension. Review of applications will begin immediately and will continue until the position is filled. Salary for the postdoctoral fellow will follow the NIH guideline commensurate with years of postdoctoral research experience.

In the course of this interdisciplinary project, you will collaborate with a team of world-class scientists and clinicians with backgrounds in visual psychophysics, engineering, biostatistics, computer science, and ophthalmology. You will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. You will have access to abundant resources for education, career development and research both from the Harvard hospital campus and Harvard University campus.

The successful applicant will:

1. possess or be on track to complete a PhD or MD with background in mathematics, computational science, computer science, statistics, machine learning, computer vision, image processing, biomedical engineering, visual science and ophthalmology or a related field. Fluency in written and spoken English is essential.

2. have strong programming skills (C++, Python, R, MATLAB, etc.) and in-depth understanding of statistics and machine learning. Experience with Linux clusters is a plus.

3. have a strong and productive publication record.

4. have a strong work ethic and time management skills along with the ability to work independently and within a multidisciplinary team as required.

Your application should include:

1. curriculum vitae

2. statement of past research accomplishments, career goal and how this position will help you achieve your goals

3. two representative publications

4. contact information for three references

The application should be sent to Mengyu Wang via email (mengyu_wang at meei.harvard.edu) with subject "Postdoctoral Application in Harvard Ophthalmology AI Lab".

A postdoctoral position is available in Harvard Ophthalmology AI Lab (https://ophai.hms.harvard.edu) under the supervision of Dr. Mengyu Wang (https://ophai.hms.harvard.edu/team/dr-wang/) at Schepens Eye Research Institute of Massachusetts Eye and Ear and Harvard Medical School. The start date is flexible, with a preference for candidates capable of starting in September 2021. The initial appointment will be for one year with the possibility of extension. Review of applications will begin immediately and will continue until the position is filled. Salary for the postdoctoral fellow will follow the NIH guideline commensurate with years of postdoctoral research experience.

In the course of this interdisciplinary project, you will collaborate with a team of world-class scientists and clinicians with backgrounds in visual psychophysics, engineering, biostatistics, computer science, and ophthalmology. You will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. You will have access to abundant resources for education, career development and research both from the Harvard hospital campus and Harvard University campus.

The successful applicant will:

1. possess or be on track to complete a PhD or MD with background in mathematics, computational science, computer science, statistics, machine learning, computer vision, image processing, biomedical engineering, visual science and ophthalmology or a related field. Fluency in written and spoken English is essential.

2. have strong programming skills (C++, Python, R, MATLAB, etc.) and in-depth understanding of statistics and machine learning. Experience with Linux clusters is a plus.

3. have a strong and productive publication record.

4. have a strong work ethic and time management skills along with the ability to work independently and within a multidisciplinary team as required.

Your application should include:

1. curriculum vitae

2. statement of past research accomplishments, career goal and how this position will help you achieve your goals

3. two representative publications

4. contact information for three references

The application should be sent to Mengyu Wang via email (mengyu_wang at meei.harvard.edu) with subject "Postdoctoral Application in Harvard Ophthalmology AI Lab".

Primary focus on computer vision
Preferred Qualifications:

• Expert in pytorch, tensorflow, or equivalent
• Very strong skills in statistics, numerical optimization, linear algebra, and image processing
• Familiar with:
• realtime video processing
• model development, transfer learning, domain randomization
• model optimization, deployment, and monitoring
• recent research in ML/CV

Contribute to exciting and high visibility projects that will push the state-of-the-art in image/video understanding, computer vision and deep learning. 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 successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.

Areas of interest include but are not limited to: object classification/detection/reidentification; object tracking and association; human pose and gesture recognition; activity classification/detection/recognition; 3D modeling and reconstruction; semantic/instance/panoptic segmentation; feature extraction and matching; face detection/verification/recognition; face-based liveness detection and anti-spoofing; image and video synthesis; image denoising and quality improvement; deep embedding learning; and adversarial learning such as generative adversarial networks. 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.

Candidate Profile

PhD in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience.
Solid research background and experience in computer vision, deep learning, and image/video analysis algorithms.
3+ years work experience in a relevant field.
Current knowledge of research literature in Computer Vision with a history of publication in the field.
Excellent written and oral communication skills also required.

ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, wellness subsidy, education assistance program, and in-suite bike racks and showers.

Apply here: https://grnh.se/91478d502us

Contribute to exciting and high visibility projects that will push the state-of-the-art in image/video understanding, computer vision and deep learning. 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 successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.

Areas of interest include but are not limited to: object classification/detection/reidentification; object tracking and association; human pose and gesture recognition; activity classification/detection/recognition; 3D modeling and reconstruction; semantic/instance/panoptic segmentation; feature extraction and matching; face detection/verification/recognition; face-based liveness detection and anti-spoofing; image and video synthesis; image denoising and quality improvement; deep embedding learning; and adversarial learning such as generative adversarial networks. 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.

Candidate Profile

PhD in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience.
Solid research background and experience in computer vision, deep learning, and image/video analysis algorithms.
6+ years work experience in a relevant field.
Current knowledge of research literature in Computer Vision with a history of publication in the field.
Excellent written and oral communication skills also required.

ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, wellness subsidy, education assistance program, and in-suite bike racks and showers.

Apply here: https://grnh.se/91478d502us

The Ted and Karyn Hume Center for National Security and Technology at Virginia Tech is a university-level research center that reports to the Vice President of Research and Innovation. Our research sponsors and collaborators benefit from both highly experienced student talent and senior technical leadership that address some of our nation’s greatest security challenges. The Hume team executes research on behalf of a range of national security research sponsors, including U.S. Government agencies and industry.

This is an applied research and development faculty position that may be based in Blacksburg or Arlington, Virginia and is part of the Hume Center’s Intelligent Systems Lab (ISL). ISL brings together researchers from computer science, statistics, machine learning, systems engineering, electrical engineering, and other fields to develop interdisciplinary solutions to cutting-edge technological challenges of national importance. Successful candidates for this position will have relevant experience or education in one or more of the following areas: computer science, data science, machine learning, artificial intelligence, mathematics, physics, statistics, or engineering.

Specific responsibilities include the following:
(1) Support research conducted in ISL in projects focused on data science, machine learning, artificial intelligence, and statistical evaluation
(2) Contribute to technical documents/presentations and peer-reviewed academic papers
(3) Provide mentorship to students working on programs

Onfido is the new identity standard for the internet. That means we only need an image of your ID and a selfie to prove that you’re you. In doing so, we help millions of people connect to the services they need and love more easily, speedily and safely than ever before, whether it’s renting a car or opening a bank account. Our vision is to create an open world where identity is the key to access.

We've received over $200 million in funding from world-class tech investors including TPG Growth, Microsoft, Salesforce to back our vision. And we're just getting started.

Do you want to build the world’s most sophisticated fraud detection system operating at unprecedented performance levels with error rates of less than 1 in a million (99.9999% performance levels)? Do you want to create state-of-the-art AI solutions to solve some of the most challenging real-world problems in identity verification? Do you want to build the future of digital identity? At Onfido, our AI scientists build the world’s most secure digital onboarding system used by thousands of businesses globally and the next generation of digital identity. At Onfido, our AI technologies detect thousands of fraud attacks daily in over a dozen industry verticals from banking to gaming to the crypto-world to shared economies and others.

Are you passionate about solving problems in the areas of data efficient ML, uncertainty modeling in neural networks, confidence models, explainable AI, data modeling, domain adaptation, differential privacy and anonymization, lifelong learning, protecting against adversarial attacks, bias mitigation, mobile device noise modeling, human computer interactions and more as applied to mission critical applications in the real world? Are you ready to go beyond building ML models to fundamentally exploring all aspects of the system building from data acquisition to algorithms to data fusion? If so, contact us.

At Onfido we are looking for an exciting and dynamic AI expert who can push the envelope on unsolved problems like uncertainty modelling, interpretable AI, protection against adversarial and Deep Fake attacks, and generalised concept drift detectors within human-in-the-loop systems and deliver real world solutions that work at scale. As a senior AI leader, you will support Onfido’s hyper-growth and passionately deliver real world value using state-of-the-art machine learning and computer vision techniques.

What you will be doing:

- Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.

- Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.

- Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.

- Participate in hands-on machine learning research and deliver the results of the research in the form of new products.

- Communicate technical vision and roadmap at multiple levels within the organisation and externally. Manage multiple levels of stakeholders (product team, machine learning team, clients)

- Be an external ambassador for Onfido providing thought leadership across the industry in area of expertise

- Publish research results in national and international conferences and scientific journals. Represent Onfido at national and international scientific conferences.

- Contribute to writing grant proposals and filing patents.

Essential Skills:

- PhD or MSc degree in Machine Learning, Computer Vision or a related quantitative field.

- Extensive experience in machine learning and computer vision, including industry experience deploying ML models to production.

- Track record of successfully delivering high performance ML-driven products.

- Successfully mentored people and teams to achieve their full potential.

- Worked with customers to impactfully solve their problems.

- Deep understanding of machine learning theory.

- Good coding skills in Python (C++ is considered a plus) and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.

Desirable Skills:

- Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning and related fields.

- Technical experience with conventional (non-DL) computer vision, signal processing and image processing techniques.

- Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.

SIGMA Clermont (France) invites applications for two postdoctoral positions to contribute to the fields of multi-modal perception and control, applied to collaborative assembly tasks. Within an European project, the selected candidates will be in charge of the multi-modal perception component of the common architecture that will identify the state of the product, the environment and the collaborating human during the execution of a production task.

The details of these positions can be found in the following link: https://owncloud.sigma-clermont.fr/index.php/s/3FvkyJ3yNuUr4sE

Eligibility: Candidates must have: (i) a doctoral degree in robotics, computer science, or a closely related field; (ii) a strong record of peer-reviewed publications e.g., IROS, ICRA, TRO, RSS, ECCV/ICCV, CVPR; (iii) good skills in programming and use of related libraries such as C++/Python, ROS, Pytorch, TensorFlow, etc.

How to apply: Applicants must submit a curriculum vitae including the contact information of two professional references in a single PDF file to aly.magassouba@sigma-clermont.fr. Email subject should be [ACROBA_0x], where "x" is the position number (1 or 2).

Start date: September 1st, 2021.

Net salary: ~ 2100 €/month.

About SIGMA: SIGMA Clermont trains top engineers in different areas of engineering sciences (chemistry, advanced mechanics, industrial engineering, robotics) in a multicultural environment. SIGMA Clermont is an internationally oriented school, driven by research and strongly connected to the world of enterprise. It is located in the region Auvergne-Rhone-Alpes, the first region in France in terms of industrial employment, and the eighth-richest region in Europe. It hosts numerous large international groups, medium-sized sector leaders, and innovative start-ups. Clermont-Ferrand and its vicinity have a population of about 290,000 residents and are ranked among the most livable small cities in the country. One of the most famous volcanoes area (Chaîne des Puys) awarded World Heritage status by Unesco is situated at only 10 kilometers from center town.

Adobe Research is seeking a Computer Vision Research Engineer with strong experience in deep learning. Responsibilities include working closely with researchers, engineers, user experience designers, and product managers to build prototypes that showcase new research technologies, and to help integrate those technologies into Adobe’s products via desktop, cloud, and mobile deployment. Additional responsibilities include developing infrastructure and providing engineering support to improve the exploration of research ideas and sharing of results. The role includes engineering support for tech transfers of Adobe Research technologies and features to Adobe’s broad product portfolio, including our cloud services and enterprise software as well as experimental platforms for next generation digital imaging applications driven by AI technologies.

We will give preference to candidates with experience in one or more of the following areas:

• Practical experience in Deep Learning, especially for image understanding and 3D computer vision tasks such as image search, image segmentation, depth estimation, object detection, image editing, pose estimation, and synthesis tasks such as hole filling and generative image editing using Generative Adversarial Networks (GANs)
• One or more publications in a top tier Computer Vision conference
• Training machine learning models
• Prototyping ideas from research papers
• Strong software development skills that encourage code reuse among researchers

For successful candidates, nearly all of the following will be true:

• You have demonstrated abilities in performing and publishing independent research.
• You have significant experience in building applications which use machine learning component technologies.
• You are excellent at collaborating with a team to get work done.
• You are skilled at both building prototypes from scratch and writing maintainable code inside large existing codebases.

Requirements for this position include:

• Master’s degree in Computer Science or a related field or equivalent experience
• Familiarity with modern deep learning frameworks
• 1+ years of experience with deep learning for computer vision tasks
• Ability to write efficient, clean, and reusable code in Python and C++
• Strong communication and collaboration skills
• Ability and willingness to learn new technologies quickly

The research engineer will work with world-class researchers and other research engineers across the entire Adobe Research organization to build a platform that will influence the next generation creative workflow. This is an ambitious and exciting forward-looking mission that provides great opportunities for growth in both technical proficiency and leadership skill!

At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our outstanding Check-In approach where feedback flows freely. If you’re looking to grow your career, Adobe’s the place for you. Discover what our employees are saying about their career experiences through the Adobe Life magazine.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.

Apply here: https://adobe.wd5.myworkdayjobs.com/external_university/job/San-Jose/Computer-Vision-Research-Engineer_R100103

Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML faster.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, John Deere, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Kleiner Perkins.

About the Perception Team

We are looking for a Senior Fullstack Engineer, with a Frontend focus to join the Perception Team. The team’s mission is to build the most efficient tool for machine learning and computer vision teams to turn assets into high quality training data. Our customers use what we create to make breakthroughs in their fields and industries and advance artificial intelligence. We will do this by building a tool that the customer can depend on and enjoy using with problem-focused craftsmanship, rooted in our customers.

Our team specializes in processing all kinds of multimedia assets and developing innovative, reliable, and desirable annotation editors - all through a performant, efficient, and beautifully designed browser interface served to a globally-scaled workforce. As a team, we develop all over the stack and system, but our most critical expertise lies in our experience and proficiency with modern browser and graphics technologies.

About You
-You have 5+ years of hands-on experience building complex, data-rich web applications
-You have a deep understanding of CS fundamentals, a passion for modern web technologies, and a demonstrated fluency with object-oriented and functional programming languages.
-Frontend development with Typescript, React, Redux, RxJS, or similar languages and frameworks
-Backend development with NodeJS, Apollo GraphQL, SQL, Redis, or similar languages and frameworks
-HTML5 Canvas-based image and video editing, especially developing content-aware and compute-assisted tooling
-Tiled Imagery and geospatial analysis
-Real-time collaboration and productivity software
-Browser network protocols and security best practices
-Machine learning principles and data pipeline development in-depth knowledge of multimedia file formats and encoding standards
-Pain-free local development with automated tooling for productivity and reliability; familiarity with Webpack, Docker, Kubernetes is a big plus

What We Value
-You have a track record of delivering complex, cross-functional projects
-You are able to balance owning and delegating technical design decisions and make tradeoffs to move quickly while producing quality code
-You care deeply about building a highly reliable and desirable tool for our customers. To do so, you apply a constant and committed approach to learning and growing in your art
-You believe in applying your craft to practical problems and value having a meaningful impact in an exciting, growing field
-You thrive in a remote-first environment and can be relied on to strike a balance between focused, individual effort and effective collaboration. --You are able to communicate clearly and concisely on technical problems and solutions across a variety of mediums
-You are excited to be part of a strong culture that promotes inclusive collaboration and fierce trust in each other
-You deeply value working on such a team and see yourself actively contributing to the culture, practices, and standards of the team

What You Will Accomplish
-You will push the boundaries of what is possible in a browser, squeezing out every last ounce of performance available to build the world’s most powerful and performant, secure and stable training data platform
-You will overcome tricky technical challenges and pioneer new uses of web technologies powering the features that enable our customers to make breakthroughs and advance the field of artificial intelligence
-You will make hands-on contributions and partner with a passionate and talented group of engineers, designers, and product managers to define, scope, and build critically valuable and innovative features in our core product
-You will develop clean, beautiful code and leave it better than you found it
-You will shape the future of Labelbox by hiring and recruiting more amazing and talented people and joining with them to promote a culture of technical excellence and constant growth through mentorship and guidance
-You will shape the future of Labelbox by leading mission-critical projects that deliver outstanding customer value with precise execution

Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML faster.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, John Deere, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Kleiner Perkins.

The position is based in North America.

What you’ll be doing
-Managing a team of DevOps / Operations / Site Reliability Engineers responsible for supporting the Labelbox cloud and on-premises offerings
-Organizing, planning, and acting on an infrastructure roadmap including areas such as cloud infrastructure, on-premises infrastructure, and developer productivity
-Collaborating with other Engineering Managers on cross-cutting team initiatives
-Working with database technologies such as PostgreSQL, MySQL, or other RDBMS
-Working with open source technologies such as Redis, Elasticsearch, and RabbitMQ
-Helping individuals with career growth and development

What we’re looking for
-6+ years of DevOps / Operations / Site Reliability Engineering experience
-3+ years of technical management experience
-Experience with public cloud infrastructure
-Experience managing data at scale
-Experience building and managing data pipelines
-Experience with CI/CD
-Someone willing to roll up their sleeves to get hands dirty if / when needed

Bonus
-Experience with automation tools and technologies such as shell scripting, Terraform, Helm, etc
-Experience deploying, maintaining, and automating services in on-premises environments
-Coding skills in languages such as Java or Golang
-Experience with SOC 2, FedRAMP, HIPAA, and other compliance-related programs
-Experience managing multiple Kubernetes clusters / clusters spanning multiple cloud providers
-Advanced knowledge of infrastructure management in GCP

Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML faster.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, John Deere, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Kleiner Perkins.

As a Manager of Solutions Engineering, you will lead a global team of Labelbox Solution Engineers and work across all Labelbox teams in driving successful outcomes for all Labelbox customers. The ideal candidate has experience working with technologies related to artificial intelligence, machine learning and/or deep learning.

You are responsible for removing technical and business-related obstacles in front of a sale, advocating for customer interests to relevant internal teams, and creating compelling technical content. You get excited talking to engineers, product managers, technology leaders, and also know how to distill technical concepts to our buyers.

As a part of the sales team, you are not just helping someone use our app, you are collaborating with business and technical teams as they build pioneering technology, often the first of its kind for their industry.

Responsibilities
-Lead a team of world-class Solutions Engineers to make customers win
-Own both the long-term technical strategy and the day-to-day operations for the Solutions Engineering function, including fostering innovation and implementing best practices
-Ensure the Solutions Engineering team is executing against Labelbox’s sales process while building and maintaining value along each step of the process
-Hire and coach highly technical professionals
-Oversee new hire onboarding and solution engineering enablement efforts
-Work closely with the customer success team to ensure smooth transitions for new customers
-When appropriate, engage directly with customers in large and strategic sales opportunities across the global sales team
-Lead cross-functional efforts to resolve critical customer situations
-Coach Solutions Engineers to effectively distill and advocate customer interests, needs and product feedback to Engineering, Product and Design
-Maintain awareness of internal product roadmap to evangelize with customers and internal teams
-Support the creation of externally facing technical literature including blog posts and case studies

Key Attributes
-5+ years of professional experience working directly with technology related to AI/ML
-Passionate about solving customer problems
-Familiar with both open source and commercial technology solutions in the AI/ML space and can leverage this knowledge to help Labelbox customers in their selection process
-Adept at collaborating, communicating, and aligning across internal teams
-Demonstrated problem solving and quantitative skills, combined with excellent written and verbal communication skills
-Able to represent the Solutions Engineering function to executive management
-Enterprise sales experience in B2B software, ideally in AI/ML
-Analytical mindset to support setting up and measuring team staffing, performance, and customer behavior
-Excel at communicating complex ideas and technical subject matter to senior stakeholders and clients

We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.

Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML faster.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, John Deere, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Kleiner Perkins.

About The Role

Labelbox approaches product management uniquely. At Labelbox, product managers are directly responsible for revenue, usage, and user happiness for products. They practice full-cycle product management, every step from ideation, building, launch, and iteration.

You’ll be working closely with nearly all functional groups in the company: design, engineering sales, support and success team, and the founders. You are expected to be highly autonomous, requiring little supervision.

The position is based in North America.

About You
-Experience with deep learning
-You are a systems thinker and are able to dive deep into problems
-Intermediate programming skills
-You have built some form of collaboration within the technical software application
-At least 4 years of experience of building and shipping products
-Adept at collecting and distilling customer insights via user interviews, prototype testing, and data analysis
-A supreme knack for bringing simplicity and focus to complex and ambiguous concepts or situations
-Ability to execute fast

What You Will Accomplish
-Own and advance a key pillar of the core Labelbox platform for machine learning engineers
-Discover new problems worth solving that advance the product and increase user value
-Design and develop product features iteratively and collaboratively
-Increase revenue, usage, and delight for the core platform orchestration product
-Prioritize what the engineering team should build every sprint
-Become the “go-to” person for your product area for all departments inside the company
-Market your product features (intercom, email, blog posts, webinars, presentations)
-Help acquire or expand customers by partnering with Sales and CSM

We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.

Job Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

GENERAL SUMMARY

Qualcomm is taking its traditional strengths in digital wireless technologies into exciting new fields such as Augmented Reality (AR) and Virtual Reality (VR). Come, join the team that helped Qualcomm win Innovative VR Company of the Year at AIXR’s 4th Annual VR Awards.

We are looking for developers in multiple projects to expand our state-of-the-art XR Perception solution.
The XR Perception R&D team investigates and develops the fundamental perception systems enabling self-contained XR platforms such as VR and AR headsets. We are growing our team to push the boundaries of mobile perception technology to offer a comprehensive platform to our customers.

Head Tracking & Mapping: Computer Vision / Machine Learning, Systems and Software Eng. roles

Candidates bring a deep understanding of computer vision and machine learning algorithms and technologies that are necessary building blocks of interactive, real-time, and immersive systems, including SLAM, 3D pose tracking, 3D scene understanding, human pose tracking, sensor fusion and mathematical optimization. They also have experience in designing solutions and implementations for real-time embedded and mobile platforms.

Responsibilities:
Be part of a world-class XR team researching and developing mobile Augmented and Virtual Reality enabling technology
Development of efficient and accurate computer vision and machine learning solutions for XR perception tasks
Understand and analyze requirements for perception systems for XR platforms
Collaborate across functional boundaries in defining architecture, APIs, design and schedule
See your design in action on industry-leading chips embedded in the next generation of AR and VR devices, smartphones, and robotics

3D Reconstruction: Machine Learning and Software Eng. roles

Candidates bring a deep understanding of machine learning algorithms that are necessary building blocks of interactive, real-time, and immersive systems, including SLAM, 3D pose tracking, 3D scene understanding, human pose tracking, sensor fusion and mathematical optimization. Ideally, they also have experience in designing solutions and implementations for real-time embedded and mobile platforms.

Responsibilities:
Participate in exciting new initiatives, solve problems, grow technical insight and deliver energy efficient, high-quality 3D computer vision algorithms
Apply Machine Learning and Deep neural networks to solve complex 3D computer vision tasks
Design, implement and optimize vision and neural network processing pipelines and algorithms on Qualcomm’s SoCs and platforms.

Software development engineers interact closely with computer vision and deep learning engineers and software developers in a world-class XR team with a dynamic environment.

Responsibilities:
Closely collaborate with product owners and domain/technology experts to integrate/validate software in a larger system.
Debugging in different software environments and on hardware. You will need to interact closely with internal teams and potentially support/work with external customers.

Minimum Skills Required: MS / PhD degree in related field with few years of industry exp. in respective technical skills.
Locations:
San Diego, CA - USA
Bangalore, India
Hsinchu, Taiwan
Amsterdam, Netherlands
Qualcomm is taking its traditional strengths in digital wireless technologies into exciting new fields such as Augmented Reality (AR) and Virtual Reality (VR). Come, join the team that helped Qualcomm win Innovative VR Company of the Year at AIXR’s 4th Annual VR Awards.

We are looking for developers in multiple projects to expand our state-of-the-art XR Perception solution.

The XR Perception R&D team investigates and develops the fundamental perception systems enabling self-contained XR platforms such as VR and AR headsets. We are growing our team to push the boundaries of mobile perception technology to offer a comprehensive platform to our customers.

Head Tracking & Mapping: Computer Vision / Machine Learning, Systems and Software Eng. roles

Candidates bring a deep understanding of computer vision and machine learning algorithms and technologies that are necessary building blocks of interactive, real-time, and immersive systems, including SLAM, 3D pose tracking, 3D scene understanding, human pose tracking, sensor fusion and mathematical optimization. They also have experience in designing solutions and implementations for real-time embedded and mobile platforms.

Responsibilities:

Be part of a world-class XR team researching and developing mobile Augmented and Virtual Reality enabling technology
Development of efficient and accurate computer vision and machine learning solutions for XR perception tasks
Understand and analyze requirements for perception systems for XR platforms
Collaborate across functional boundaries in defining architecture, APIs, design and schedule
See your design in action on industry-leading chips embedded in the next generation of AR and VR devices, smartphones, and robotics
3D Reconstruction: Machine Learning and Software Eng. roles

Candidates bring a deep understanding of machine learning algorithms that are necessary building blocks of interactive, real-time, and immersive systems, including SLAM, 3D pose tracking, 3D scene understanding, human pose tracking, sensor fusion and mathematical optimization. Ideally, they also have experience in designing solutions and implementations for real-time embedded and mobile platforms.

Responsibilities:

Participate in exciting new initiatives, solve problems, grow technical insight and deliver energy efficient, high-quality 3D computer vision algorithms
Apply Machine Learning and Deep neural networks to solve complex 3D computer vision tasks
Design, implement and optimize vision and neural network processing pipelines and algorithms on Qualcomm’s SoCs and platforms.
Software development engineers interact closely with computer vision and deep learning engineers and software developers in a world-class XR team with a dynamic environment.

Responsibilities:

Closely collaborate with product owners and domain/technology experts to integrate/validate software in a larger system.
Debugging in different software environments and on hardware. You will need to interact closely with internal teams and potentially support/work with external customers.
Minimum Skills Required: MS / PhD degree in related field with few years of industry exp. in respective technical skills.

Minimum Qualifications

Education:

Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems
Work Experiences:

Certifications:

Skills:

Preferred Qualifications

Education:

Masters - Computer Science, Masters - Engineering, Masters - Information Systems
Work Experiences:

Certifications:

Skills:

AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics

Job Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

GENERAL SUMMARY

Artificial Intelligence (AI) is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. The field of AI, especially deep learning, has tremendous opportunity for explorations and improvements.
At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.

Led by world-renowned pioneering machine learning researcher, Max Welling, members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary team that has repeatedly won major deep learning competitions.
Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet) to enable state-of-the-art networks to run on devices with limited power, memory, and computation
Role responsibility can include both, applied and fundamental research in the field of machine learning with development focus in one or many of the following areas:
Conducts fundamental machine learning research to create new models or new training methods in various technology areas, e.g. deep generative models (VAE, Normalizing-Flow, ARM, etc), Bayesian deep learning, equivariant CNNs, adversarial learning, active learning, Bayesian optimizations, unsupervised learning, and ML combinatorial optimization using tools like graph neural networks, learned message-passing heuristics, and reinforcement learning.
Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods (model-based, sampling based, back-propagation based) for model compression, quantization, architecture search, and kernel/graph compiler/scheduling with or without systems-hardware co-design.
Performs advanced platform research to enable new machine learning compute paradigm, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning.
Creates new machine learning models for advanced uses cases and achieve state-of-the-art performance and beyond. The use cases can broadly include computer vision, audio, speech, NLP, image, video, power management, wireless, graphics, and chip design
Design, develop & test software for machine learning frameworks that optimize models to run efficiently on edge devices. Candidate is expected to have strong interest and deep passion on making leading-edge "deep learning" framework and algorithms working on mobile/embedded platforms for the benefit of end users.
Research, design, develop, enhance, and implement different components of machine learning compiler for HW Accelerators.
Design, implement and train DL/RL algorithms in high-level languages/frameworks (PyTorch and TensorFlow).

Here are some of the Internship (short and long term) and Research / Engineering opportunities we are actively hiring:
Deep Learning Research Engineer
Deep Learning and Optimization Researcher
Deep Learning Model Efficiency Engineer
Software Engineer – Model Optimization
Machine Learning Performance Architecture
Machine Learning Compiler Engineer
Machine Learning / Computer Vision Camera Engineer
Artificial Intelligence (AI) is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. The field of AI, especially deep learning, has tremendous opportunity for explorations and improvements.

At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.

Led by world-renowned pioneering machine learning researcher, Max Welling, members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary team that has repeatedly won major deep learning competitions.

Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet) to enable state-of-the-art networks to run on devices with limited power, memory, and computation

Role responsibility can include both, applied and fundamental research in the field of machine learning with development focus in one or many of the following areas:

Conducts fundamental machine learning research to create new models or new training methods in various technology areas, e.g. deep generative models (VAE, Normalizing-Flow, ARM, etc), Bayesian deep learning, equivariant CNNs, adversarial learning, active learning, Bayesian optimizations, unsupervised learning, and ML combinatorial optimization using tools like graph neural networks, learned message-passing heuristics, and reinforcement learning.
Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods (model-based, sampling based, back-propagation based) for model compression, quantization, architecture search, and kernel/graph compiler/scheduling with or without systems-hardware co-design.
Performs advanced platform research to enable new machine learning compute paradigm, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning.
Creates new machine learning models for advanced uses cases and achieve state-of-the-art performance and beyond. The use cases can broadly include computer vision, audio, speech, NLP, image, video, power management, wireless, graphics, and chip design
Design, develop & test software for machine learning frameworks that optimize models to run efficiently on edge devices. Candidate is expected to have strong interest and deep passion on making leading-edge "deep learning" framework and algorithms working on mobile/embedded platforms for the benefit of end users.
Research, design, develop, enhance, and implement different components of machine learning compiler for HW Accelerators.
Design, implement and train DL/RL algorithms in high-level languages/frameworks (PyTorch and TensorFlow).
Here are some of the Internship (short and long term) and Research / Engineering opportunities we are actively hiring:

Deep Learning Research Engineer
Deep Learning and Optimization Researcher
Deep Learning Model Efficiency Engineer
Software Engineer – Model Optimization
Machine Learning Performance Architecture
Machine Learning Compiler Engineer
Machine Learning / Computer Vision Camera Engineer