Job Board

Who are we:
SAIT, Samsung Advanced Institute of Technology is Samsung group’s R&D hub. Established in 1987 as an incubator for cutting-edge technologies under the philosophy of Boundless research for breakthroughs. SAIT’s guiding vision has always been changing the world through creative research. At the heart of Samsung group’s R&D, SAIT acts a point of convergence for different research fields and acts as a bridge connecting different domains, resulting in quantum leap level of innovation. From AI algorithms, computing platforms and human augmentation to semiconductors, battery and display material; SAIT covers a large spectrum of fundamental research topics the are at the corner stone of advanced technologies.

Research Areas:
• AI Algorithms: understanding users and environments with human-level intelligence.
• Commuting Platform: New computing processors that mimic the human brain.
• Human Augmentation: Technology that expands human capabilities.
• Metaphotonics: The magic of light demonstrated by artificial nanostructures.
• Nano-Electronics: Innovative devices using Nano new materials.
• Display Materials: Novel technologies for luminescent and organic electronic materials.
• Battery Materials: New battery materials and chemistry for safer and longer use of batteries.
• Semiconductor Materials: Next-generation semiconductor materials for “more Moore” & “Beyond Moore”.
• Environmental Research: Sustainable materials designed for the capture and decomposition of pollutants.

SAIT Computer Vision Lab:
Computer vision lab at SAIT have been established to cover a multitude of interesting and versatile computer vision tasks. Research topics include object detection, identification, segmentation, tracking or computational photography. Researchers at SAIT’s computer vision lab work on designing and developing AI and computer vison algorithms to run on plethora of devices; from tiny machine learning algorithms running on a sensor level to huge models that run on large scale supercomputers. To facilitate the infrastructure for this versatile research agenda, the computer vision lab collaborates with computing platform researchers to facilitate a seamless integration between software and hardware. This way computer vision researchers at SAIT only focus on designing cutting edge computer vision technologies and solving challenging computer vision tasks. The Computer vision lab at SAIT is continuously looking for active researchers with interests in AI Algorithms; including Computer Vision, Computer Graphics, Image Processing, Machine Vision, Deep Learning & Machine Learning.

SAIT homepage : https://www.sait.samsung.co.kr/saithome/main/main.do

[ABOUT]: The Inception Institute of Artificial Intelligence (IIAI) (http://www.inceptioniai.org/) was founded in early 2018 in Abu Dhabi. It is the leading AI institute in UAE with the focus on breakthroughs in various areas of AI research. The IIAI Video Analysis Research Group, led by Lead Scientist Dr. Shengcai Liao (https://liaosc.wordpress.com), focuses on intelligent video analysis and understanding. We focus on frontier topics in the direction of object detection, tracking, and recognition. Out target is to explore the nature of vision and intelligence, learning and generalization, and encourage potentially influential original research and breakthroughs.

[REQUIREMENTS]:
1、 Ph.D. in computer science, mathematics and other related majors from well-known universities.
2、 A deep knowledge in computer vision and machine learning. Willing to explore new and challenging research topics.
3、 Published at least two first-author papers in top-tier computer vision and machine learning conferences or journals (e.g. CVPR/ICCV/ECCV, NIPS/ICML/ICLR, TPMAI/IJCV, etc.).

[BENEFITS]: Extremely competitive package (tax-free salary). An extremely powerful GPU farm with several hundreds of NVIDIA DGX-1/DGX-2 servers. World-leading standard of healthcare and education. One month of paid annual leave per year.

[APPLICATION]: Please send an email to Dr. Shengcai Liao (shengcai.liao@inceptioniai.org) with the subject line "[IIAI Positions]:" followed by the relevant role, and the content including a comprehensive CV, and/or links to your homepage/Google Scholar profile/Github or other profile with source codes developed by you.

Envision.ai, based in Montreal Canada, is growing our team to usher in the latest advancements in deep learning to develop our VideoViews technologies for multi-modal video analysis. We are looking for talented senior software developers to build curiosity-driven, robust, scalable systems to support our APIs, infrastructure services, and our machine learning datasets. You are excited by the challenging problems that unstructured data poses particularly applied to video applications. Working at the nexus of creativity and artificial intelligence.

Do you dream about working in a flexible, dynamic, entrepreneurial and stimulating environment to build state-of-the-art products? Let's talk about you joining the team! Please contact us at careers@envision.ai

YOU:
• Demonstrated expertise in machine learning research. Ideally in multi-modal video analysis and video content creation.
• Experience coding in C++ and Python, worked with TensorFlow, PyTorch and TensorRT
• Validated ability to identify and troubleshoot issues in complex systems
• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Dedicated to optimizing algorithmic and computational performance
• Experience architecting and developing solutions to ambiguous problems with significant impact.
• Ability to work in a diverse collaborative environment.


BONUS POINTS:
• Have made significant contributions to past software projects.
• You are excellent at debugging deep learning models and are an expert at implementing models from scratch, using cloud infrastructure to train and deploy these models.
• Collaborative and focused by nature

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 


The Visual Computing Group (https://vcg.seas.harvard.edu/) in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning. We are working on a wide range of exciting research areas, including image enhancement, video understanding, visual question answering, and biomedical image analysis. In addition to working closely with graduate students and collaborators on research projects, the candidate is expected to actively participate in writing grant proposals.

Several Postdoctoral Researcher positions are available in the computer vision lab led by Professors Ko Nishino and Shohei Nobuhara in the Department of Intelligence Science and Technogloy, School of Informatics, Kyoto University. Successful candidates will contribute to research on human behavior modeling, inverse rendering, scene understanding including material recognition, or new imaging modalities for computational photography. The research projects are funded by either Japan Society for The Promotion of Science or Japan Science and Technology Agency. Initial contract will be for two years with possible multiple one-year extensions. Salary is competitive for an academic position in Japan and to live comfortably in Kyoto. No teaching requirements and obligations. The lab is located in the heart of Kyoto.

Qualifications:
* PhD in Computer Science, Electrical and Computer Engineering, or Machine learning
* Strong publication record in first-class computer vision journals and conferences
* Fluency in spoken and written English (Japanese not required)

Please send your CV, representative publications, research statement, and more than two references to kon@i.kyoto-u.ac.jp by August 30th.

MicroTraffic has helped 70 cities diagnose traffic safety problems by measuring near-misses from overhead video. We are a seed stage startup and winner of the 2021 SXSW Pitch - Smart Cities Category. In addition to helping cities to diagnose and fix traffic safety problems, we create edge case datasets that help self-driving companies better understand human risk behavior.

The first product that we built - an offline diagnostic snapshot tool that uses 3 days of overhead video - has triggered more than $225M of road safety improvement investments resulting in an average risk reduction of 80% at the subject intersections.

In this position, you will join a team that is strengthening our offline diagnostic snapshot tool, while also working on the next areas on our product roadmap: continuous edge diagnostics, and sensor fusion.

We are looking for candidates with an M.Sc. or Ph.D. in engineering or computer science focused on computer vision with experience and expertise in the following areas:

-road user detection, classification, and tracking from overhead video
-sensor fusion with LIDAR and/or RADAR to augment video
-accurate spatial localization of road users in video
-tracking models that run in real time on the edge (that is, they are computationally efficient)
-tracking strategies that are robust in unfavorable video conditions such as full and partial occlusions, small and distant objects, stopped objects, and object groups... in general creating single continuous tracks for each road user
-classification of pedestrians, cyclists, e-scooters, wheelchair users, and multiple vehicle types

You will work with a team of computer vision engineers and be supported by in-house and outsourced data labelling and annotation to help you execute your model development, training, and testing strategies.

A strong research background is an asset but this is a product development focused position, so past experience leading teams involved in successful commercialization of computer vision tracking projects is highly sought after.

We are located in Canada and are particularly interested in candidates living in Canada. However, the job is open to remote work anywhere in the world.

The MicroTraffic team is united and driven by a desire to make an impact in road safety. If you fit the profile described above and would like to be part of this impact-focused team, please reach out.

RIKEN launched a robotics project in April 2019, aiming at a future society where humans and AI/robots coexist flexibly. In April 2021, the project was renamed as Guardian Robot Project. This project is promoting R & D for the social implementation of next-generation robotics ("brain x AI") that synergistically incorporates the strengths of AI research into brain science and cognitive science. Multimodal data recognition Research Team focuses on multi-modal signal processing and pattern recognition, especially action/facial expression/intension estimation of a person, object recognition by fusing multiple sensor outputs, and 3D scene description.

Research Scientist

Carries out research and other work in accordance with team research themes.

Postdoctoral Researcher

Carries out research and other work in accordance with team research themes under the direction of supervisors.

*The type of position will be decided based on the applicant's ability, aptitude, etc.

Job description

We seek a highly motivated research scientist or postdoctoral researcher to develop environmental perception and human understanding for robots. We mainly focus on multi-modal signal processing and pattern recognition, especially action/facial expression/intension estimation of a person, object recognition by fusing multiple sensor outputs, and 3D scene description.

Qualifications

must have a Ph.D. or is expected to receive a Ph.D. in computer vision, pattern recognition, machine learning, multimedia processing, or a related field before the date of employment
must be proactive, cooperative, flexible, and able to respond according to the circumstances.
must also have good communication skills and cooperate with the relevant personnel within/outside of the laboratory to fulfill the tasks.

At Motorola Solutions, we create technologies our customers refer to as their lifeline. Our technology platforms in communications, software, video and services help our customers work safely and more efficiently. Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe. Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security.

Department Overview

Motorola Solutions’ innovations, products and services play essential roles in people’s lives. Our end-to-end suite of software solutions helps our customers answer thousands of emergency calls and text messages, and process video, disparate evidence and records. We are also proud to be industry leaders in video security solutions installed in more than 120 countries at thousands of customer sites, including school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.

Our products leverage cutting edge voice technology, language models, natural language understanding, video analytics, and Machine Learning to enable our customers to focus on what matters while providing faster responses, safer outcomes and greater transparency. The candidate will join a talented team of scientists and engineers (located in Chicago, Boston, Vancouver and Krakow, Poland) in the Chief Technology Office at Motorola Solutions working on developing mission-critical AI solutions for our public safety and commercial customers. Our mission is to provide meaningful value to MSI’s customers by developing domain-specific applications and services in the areas of Speech & Audio, Machine Translation, Natural Language Understanding and Computer Vision.

Our AI team is focused on all aspects of 1) designing, prototyping and developing solutions (e.g. algorithms and architectures for object detection, classification etc.), 2) Machine Learning training and optimization (distributed training and inference acceleration) and 3) data (tools for data acquisition, annotation – both human and machine-powered, data pipelines and supporting ML infrastructure). We’re excited about the work we are doing in AI. We often describe it as “Mission Critical AI” because our approach is founded on our many years of Public Safety and Video Security experience and knowledge. We know the mission-critical needs of our customers are unique and different from the most consumer technologies that leverage AI today.

Job Description

• Implement, evaluate and maintain Computer Vision and Machine Learning algorithms. Participate in designing new algorithms.
• Work with research scientists and software engineers to bring the algorithms and technologies to commercial deployments.
• Test and optimize Deep Learning models. Deploy the models to the cloud, GPU servers and various embedded platforms.
• Generate synthetic images and videos using commercial tools and game engines.
• Design and develop tools for analyzing and testing the Deep Learning and Computer Vision solutions.
• Write technical documentations.

Required Skills:

• Advanced degree in Computer Science, Electrical Engineering or a relevant field.
• Strong programming skills (C++ and Python).
• Familiarity with Object Oriented design, data structures and algorithms.
• Good analytical and problem solving skills.
• Dependable written and oral communication skills.

Desired Skills:

• Hands-on experience in building, deploying, and optimizing Computer Vision and Machine Learning algorithms.
• Knowledge of object classification, detection, re-identification and tracking.
• Knowledge of image and video processing.
• Experience with OpenCV.
• Familiarity with numerical methods and scientific programming.
• Familiarity with real-time, multi-threaded software development in Linux and modern C++ design patterns.
• Experience in software design and architecture.
• Activity in the Open Source community (e.g. github account as reference).

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.

Qualcomm Residency Program is 12-month role designed to jump-start careers in Deep Learning and Computer Vision. It will be based out of San Diego and residents will be required to work onsite.
Residents will work with pre-identified leads and projects (ML/CV/AI/DL etc.). The goal of the residency program is to help residents become successful researchers with hands-on industry projects, beyond the academic realms.
The residency program will be similar to spending a year in a Master's or Ph.D. program in deep learning and computer vision. Residents will be expected to read papers, work on research projects, and publish their work in top-tier forums. By the end of the program, residents are expected to gain significant research experience.
Current students would need to graduate before the residency begins. Applications will be shortlisted based on the prerequisite courses, proficiency in programming and also in the form of a transcript, letters of recommendation, notable performance in competitions, or links to an open-source project that demonstrates programming and mathematical ability.

Enrich the Smartphone, Auto and IoT embedded systems by advanced computer vision features with machine learning and signal processing. Tasks may include

Biometrics in embedded system, including face detection, recognition, anti-spoofing and gaze analysis under both 2D and 3D sensors
Deep learning research in computer vision for AI-enabled camera, video, augmented and virtual reality, including image segmentation, object detection and classification, body and hand pose estimation, etc.
3D reconstruction for 3D human face and body modeling and animation
Candidate needs to have PhD in EE/CS or related field
Preferred Qualifications:
- Research experience in Machine Learning, Computer Vision, Neural Networks
- Project experience that demonstrates programmi
- Ph.D in relevant fields and/or industry experience

Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

About Us
Home Depot is the world’s largest home improvement company. At HomeDepot.com, our Data Science team is blazing a trail of retail shopping innovation by leveraging cutting-edge technology and newly patented concepts to bridge our 2,200+ store locations and our online shopping experience.
With deep learning, predictive modeling, NLP, pattern recognition, and computer vision, we innovate and implement solutions to surprise and delight our customers. By partnering with business leaders, we’re creating a unique, game-changing customer experience.

Roles
As Data Scientist or Senior Data scientist in the Visual AI team, you will be building state of the art solutions based on computer vision, deep learning, image processing, image generation, image reconstruction. If you are passionate, curious, and accountable, if you love challenges, solving problems and innovating, you will enable millions of customers to get their dream home!
We have several positions to enrich the visual experience of our e-commerce platforms, to help customer find the décor product that complete their room, refine their selection based on their taste, and visualize the item in the comfort of their home.
With your strong analytical skills and research experience, you will design solutions for customer and business problems. You will build prototypes and proof of concept, test and collaborate with product managers and engineering teams to push your solutions to production. Your strong communication skills will facilitate teamwork and influence the future of roadmaps.

Qualifications and Skills
• Master or PhD in Computer Vision, Machine Learning or related fields (CS, Machine learning, Deep Learning, Physics, Math…)
• Proficiency in Python
• Hands-on experience with some of the following technics and applications:
o Deep Learning such as CNN, Siamese NN, GAN, NGNN, etc.
o Computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow
o Object Detection, Image Segmentation, Image Captioning
o Cross-modality recognition and matching
o Generative Images
o Photogrammetry or with DL techniques for geometry estimation
o 3D reconstruction algorithms (e.g. SFM, MVS, SLAM, etc.) and various 3D representations (e.g. pointcloud, meshes, implicit functions, neural representations, etc.)

Nice to have
o Publications at top-tier peer-reviewed conferences or journals
o Proven track record of innovation in creating novel algorithms and advancing the state of the art / patents

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Please apply for a Data scientist position (https://careers.peopleclick.com/careerscp/client_homedepot/external/gat…) or a Senior Data Scientist position (https://careers.peopleclick.com/careerscp/client_homedepot/external/gat…).

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.

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for its Computer Vision team in Shanghai, China. The team develops new algorithms, architectures and systems for computer vision application running in an embedded systems environment targeted primarily to devices operating in mobile, XR, automotive and IOT environments.

The candidates are expected to work on the following aspects:

Utilizing modern machine learning techniques for computer vision tasks
Development of concept proving demo on Qualcomm platform
Tackling practical issues in terms of accuracy and efficiency for specific application scenarios to make the computer vision technology ready for commercialization
Tracking cutting-edge computer vision and machine learning techniques and new emerging application fields
Proposing new ideas in algorithm /application for technology commercialization and/or patent application
Qualification:

Strong background and hands-on R&D experience in one or more of the following Computer Vision related areas：
Biometrics: Face/ Fingerprint recognition and anti-spoofing
Hand / body detection and 2D/3D pose estimation
Object detection/ tracking
Segmentation
Knowledge or experience in ultrasonic signal processing, transmission and acoustic imaging theory is a plus
PhD degree is preferred but Master with top-level conference / journal publication in CV/ ML area can be considered.
Proficiency in Python and C++ is a must. Java/ Script languages are plus.
Proficiency in Pytorch or Tensorflow is a must.
Experience with On-device deep learning model deployment is a plus
Experience with Android / Linux / QNX development is a plus
Experience with performance optimization with ARM/ DSP/GPU/NPU is a plus
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Facebook AI Research (FAIR) is one of the top industrial research organizations in the world. In the FAIR Computer Vision team, we publish groundbreaking papers and release frameworks / libraries that are widely used in the open-source community. We also collaborate closely with Applied Research and Facebook Reality Labs to bring the latest research findings to production.

We are currently seeking talented Research Engineers with experience in Computer Vision and Computer Graphics to join a new large-scale research effort aimed at coalescing multiple teams to make dramatic improvements in the state-of-the-art for Embodied AI and applications in Augmented Reality.

The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, designers, product managers as their cross-functional partner, and will have access to cutting edge technology, resources, and research facilities.

To learn more about our research, visit https://research.facebook.com.

Responsibilities

Minimum Qualifications

Preferred Qualifications

Aurora Flight Sciences, A Boeing Company, is seeking talented engineers to lead cutting edge autonomous aircraft research and development programs. The Perception Research Engineer/Scientist brings strong design ability with the sensors and algorithms that perceive the external environment (mapping and semantic labelling), internal state of a vehicle(s), and operator intent. The ideal candidate demonstrates strong background in modern machine learning perception algorithms and systems and the ability to deploy perception systems onto real-world applications. The position comes with ample leadership opportunities in customer/proposal development and engineering execution.

Responsibilities

Minimum Requirements

Desired

Aurora Company Overview

Aurora Flight Sciences, a Boeing Company, is a leader in the development and manufacturing of advanced unmanned systems and aerospace vehicles. Our mission is to apply autonomy and robotics to the development, production, and operation of advanced aircraft. During the last three decades, Aurora has designed, rapid-prototyped, and flown an average of one new vehicle a year for both government and commercial customers. Now, as an independent subsidiary of Boeing, Aurora’s innovation is combined with Boeing’s size and strength, creating an unprecedented opportunity to shape the future of aerospace systems.

Please apply at https://www.aurora.aero/careers/

Aurora is seeking a Research Engineer/Scientist to join our Autonomy Research Division. You will conduct research and development in Artificial Intelligence and Machine Learning (AI/ML) for challenging problems in the aviation domain!

Aurora Flight Sciences, A Boeing Company, is a world leader in the development of highly autonomous aircraft. We are searching for talentedengineers to lead cutting-edge research in AI/ML technology applied to unmanned aircraft systems.

Responsibilities

Minimum Requirements

Desired

 
Please apply at https://www.aurora.aero/careers/

Full Time Roles:
Senior Deep Learning Scientist, Mapping & Localization - Autonomous Vehicles (JR1939260)
Senior Software Developer, Behavior Planning - Autonomous Vehicles (JR1936829)
Senior Computer Vision Engineer, Mapping & Localization - Autonomous Vehicles (JR1939262)
Senior Robotics Engineer – Perception (JR1942771)
Senior Software Architect - Autonomous Vehicles (JR1937963)
Senior System Software Engineer, Driveworks (JR1937870)
Senior Systems Software Engineer - Autonomous Vehicles Platform  (JR1938058)
 
Internships and New College Graduates:
Software Intern – Robotics AI (Summer 2022)
Software Intern - Robotics Simulation (Summer 2022)
Computer Vision Research Intern (Summer 2022)
Robotics Research Intern (2022)
Autonomous Vehicles Research Intern (2022)
Computer Vision Research Scientist (Summer 2022)
Robotics Research Scientist (2022)
Autonomous Vehicles Research Scientist (2022)
 
*Come chat with a recruiter on Monday, June 21st to learn more about opportunities on the CVPR NVIDIA Sponsor page.
*Enter here to win NVIDIA GPUs and more!
 
Link for more info:
Full Time Roles
Internships and New College Graduate Roles

Founded by Dr. Yuanqing LIN in November 2017, Aibee is a leading AI startup providing AI solutions, and its mission has been to empower and upgrade the vertical market with AI. We are a leading company in the application of AI technologies for the retail industry, have developed full AI solutions for offline retailers that enable them to close the loop among data, algorithms, and product/service. Aibee applies the most advanced and innovative AI technologies (computer vision, speech recognition, natural language understanding, big data analytics, robotics, etc.) and has become the strategic partner of many of the world’s largest retail chains.

We are looking to grow our team with talented algorithm engineers, develop software and models that marries cutting-edge computer vision and deep learning technology.

Responsibility:
· Research, design, develop, implement and optimize algorithms related to the broad problems of computer vision, including but not limited to pose estimation/tracking, object detection, tracking, image/video semantic segmentation, video semantic understanding, , 3D vision, etc.;
· Analyze, track, and produce state-of-the-art research related to Aibee AI solutions;
· Optimize computer vision algorithms and apply to real applications.
· Implement production-quality algorithms with strong ownership.
· Explore promising research and maintain/gain the technical edge required for Aibee AI projects; share and develop new approaches and methods.

Qualifications:
· MS (or BS with at least 3 years working experience) in Computer Science, Electrical Engineering, Computational and Mathematical Engineering, or a closely related field
· 3+ years of experience in C++ or Python, for computer vision or machine learning applications.
· Knowledge and experience in computer vision and machine learning technologies.
· Solid understanding of basic mathematical tools like Linear Algebra and Probabilities.
· Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks is preferred.

Benefits:
· Comprehensive Medical, Dental and Vision Insurance
· Retirement Plan
· Generous PTO and Paid Holidays
· Daily Meal and Bi-weekly Happy Hours
· Flexible WFH Policy
· Frequent Tech Talks

Founded by Dr. Yuanqing LIN in November 2017, Aibee is a leading AI startup providing AI solutions, and its mission has been to empower and upgrade the vertical market with AI. We are a leading company in the application of AI technologies for the retail industry, have developed full AI solutions for offline retailers that enable them to close the loop among data, algorithms, and product/service. Aibee applies the most advanced and innovative AI technologies (computer vision, speech recognition, natural language understanding, big data analytics, robotics, etc.) and has become the strategic partner of many of the world’s largest retail chains.

We are expecting top-notch Computer Vision Algorithm Scientists to join our R&D center in Palo Alto (currently remote), work on production level computer vision and deep learning models. We have access to a huge amount of real retail data, enabling researchers like you to develop complex models and techniques at scale.

The problems range from various research domains in Computer Vision and Machine Learning such as:

• Activity Recognition and Event Detection
• (Multi-Camera) Multiple Target Tracking
• Re-identification and Metric Learning
• Holistic visual understanding
• Object Detection, Segmentation, and Classification
• Pose Estimation and Tracking

Preferred Qualifications:
• PhD (or master with at least 3 years working experience) in Computer Science, EE, Applied Mathematics, or related fields.
• Strong publication record in premier AI-related venues such as CVPR, ICCV, ECCV, NeurIPS, or other related major conferences or journals.
• Strong analytical and problem-solving skills.
• Team player with good communication skills.
• Strong coding skills with Python or C++.

Benefits:
• Comprehensive Medical, Dental and Vision Insurance
• Retirement Plan
• Generous PTO and Paid Holidays
• Daily Meal and Bi-weekly Happy Hours
• Flexible WFH Policy
• Frequent Tech Talks

The Institute of Systems and Robotics – Coimbra (ISR-UC) is seeking a high-qualified, self-motivated Computer Science Researcher in the areas of Computer Vision to join the Computer Vision group, particularly the VisTeam. The team (VisTeam stands for Visual Information Security Team) is focused on the application of Computer Vision to industry in a few areas such as Facial Biometrics, Machine-Readable Coding (2D barcodes), Steganography, by using conventional and deep learning tools. The team has a strong track record on patents and is being currently financed by the Portuguese Mint and Official Printing Office.
This vacancy is supported by the Visual-ID project. This project aims at researching and developing in the border of areas such as coding, biometrics, low-level vision, graphics and printer-proof steganography. The ultimate goal of this project is to develop algorithms to improve the quality of high-security printing products, whose outcomes can be used in products such as passports and other machine-readable travel documents, civil identification cards, excise and tax stamps, brand protection stamps, driver’s license, biometrics authentication systems and other security products, objects and systems.

Job Role & Key Responsibilities

The Senior Researcher will undertake the following main activities and responsibilities:
1- Lead the team (size of the team varies depending on necessity but is expected to be between 5 and 10 researchers/students);
2- Development of algorithms in the mentioned areas;
3- Co-supervise Master and PhD students;
4- Paper writing and management;
5- Reporting the results.

Job Requirements

Candidates should meet the following requirements:

Qualifications
1- PhD Degree in Computer Vision, Electrical and Computers Engineering, Computer Science, Biomedical Engineering or any other relevant affine field;
2- Experience and Technical Skills;
3- Strong knowledge in Computer Vision;
4- Relevant knowledge in Machine Learning, and particularly Deep Learning;
5- Strong low-level development software skills (C/C++) and/or in Python;
5- Strong programming skills in standard machine vision tools (OpenCV, Tensorflow, Keras, among others)

Personal Skills
1- Strong motivation to work both independently and as part of a team in an interdisciplinary environment, with the ability to pay close attention to detail and to meet deadlines;
2- Team work spirit;
3- Good communication skills;
4- “Hands-on” approach together with a high commitment in respecting working deadlines;
5- Highly organised and dynamic.

Languages
1- Excellent communication skills in English are required. The communication skills in Portuguese are considered but are not mandatory.

Duration of the grant
The total duration of the grant shall be 24 months. An extension of 12 months is possible.

What we offer
1- An annual scholarship up to 31800€, paid monthly (2650€/month);
2- The amount will depend on the level of expertise;
3- Work Accidents insurance costs to be paid by ISR-UC, to provide coverage for work accidents and invalidity benefits;

How to Apply
The expression of interest must be sent by email to nunogon@deec.uc.pt

For the expression of interest to be valid it must be made in English or Portuguese.

Supporting Documents
Please enclose the following supporting documents in pdf format:
(a) Cover letter in English;
(b) Curriculum Vitae in English;
‍
Equal Opportunity and Non-Discrimination Principle
ISR-UC promotes a non-discrimination and equal access policy, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of and duties based on any possible discriminatory issues.

Enquiries should be made to: nunogon@deec.uc.pt.

The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR) group of Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is looking for a postdoctoral researcher in the area of computer vision, AI, and machine learning. The Research Vision-CAIR group performs research and develops computational approaches in the following research themes:

(a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating and understanding unseen art and fashion in 2D and 3D). We are also interested in Affective AI; check out our recent work.

(b) continual learning (e.g., alleviating catastrophic forgetting in various learning settings including recognition RL);

(c) vision and language (this overlaps with the former themes as 2D and 3D vision is often integrated with language).

Key requirements include good communication (verbal, writing, etc) and excellent publication record in high-quality journals and/or conference proceedings such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, Nature, TPAMI, AAAI. It is an opportunity to develop core algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here.

Apply here: https://apply.interfolio.com/86108

Next cut-off date: July 10th, 2021

Backed by some of the world's best fitness investors, including Jeff Fagnan, Naval Ravikant, Tribe Capital, Detroit Venture Partners (Cleveland Cavaliers), Courtside Ventures, and founders/execs from Glossier, Molekule, Bonobos, Caraway, The Athletic, UFC, and more, we're building out the next generation in state-of-the-art connected fitness!

Certified Personal Trainers from top VC firms and with expertise in robotic systems, we're looking for key early hires to join us in making the world stronger, healthier, and happier.

Combining minimalist design and gamification with data-driven coaching, we are altering the fitness paradigm - making workouts fun, engaging, and effective.

Responsibilities:
- Construct a world-class computer vision + human recognition system, as related to human pose estimation, exercise detection, rep counting, and posture correction.
- Develop and implement algorithms for high-speed, high-accuracy, versatile 3D models.
- Comprehend, label, and classify various movements and exercises with high fidelity.
- Design end-to-end training and deployment infrastructure for mobile-based software.
- Stay abreast of new research and novel findings in the fields of computer vision, human recognition, AI, and motion sensing.
- Analyze system performance with a constant focus on efficiency, stability, and scalability.
- Collaborate with engineers across our software, hardware, and firmware teams.

Qualifications:
- 3-5+ years of industry or research experience in Computer Vision, Video Processing, Machine Learning / Deep Learning, and Pattern Recognition, especially as related to motion tracking, detection, and recognition.
- MS or PhD in Electrical Engineering / Computer Science or a related field (mathematics, physics, machine learning, or robotics).
- Strong teamwork and leadership skills.
- Understanding of human pose estimation, human detection, skeleton tracking, and 3D reconstruction.
- Experience with C++, Python, and Deep Learning frameworks (like PyTorch and TensorFlow).
- Preferred knowledge of OpenCV and MoveNet.
- Open to LA or remote.

This is a critical role, and an attractive salary + equity comp package will be offered. If you’re energized by the combination of fitness and technology, the opportunity to improve people’s health & wellness, and the impact you can make in the early days of a startup going after a massive opportunity, we’d love to talk to you!

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Our company 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.

Comcast Applied AI & Discovery is an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC, Philadelphia, Denver and Chicago that engages in groundbreaking research to re-invent customer experience for Comcast’s 22+ Million consumers using AI and machine learning.

The AI for Connected Living (CL) team under Comcast Applied AI & Discovery brings the Computer Vision and Deep Learning capability and delivers brilliant features to our connected living product. The vision of our team is to enhance our customers’ safety and connectivity in the home by creating smart home and internet experience with AI technologies. We are currently looking to hire a lead researcher with 3+ years of experience in conducting cutting-edge research in AI and Machine Learning applied to the connected living domain. The primary location is either in Philadelphia, PA, or Washington, DC. We feature an informal, open, fun atmosphere and cultivate a start-up culture with the backing of a Fortune 50 company.

Requirements:
- Master’s degree in computer science, computer engineering, electrical engineering, mathematics, related technical subject area, or experience; Ph.D.

- Strong publications on computer vision and deep learning, including but not limited to video analytics, object detection/recognition, and event/activity recognition. Candidates with top conference publications are preferred (e. g., ICCV/CVPR/ECCV/NIPS/ICML/ICLR)

- Strong programming and software development skills, and familiarity with C/C++ or Python, and deep learning frameworks (Keras, TensorFlow, PyTorch, Caffe).

-Prior experience working on delivering computer vision models for large scale production. Prior experience on designing models for edge devices or cloud or deploying computer vision models in a production scenario is preferred.

Lab Summary:
SAIC-NY is Samsung’s new, forward-looking AI Research center located in New York, NY. The goal of SAIC-NY is to conduct fundamental research at the intersection of robotics and neuroscience and to develop prototypes and demonstrations of pioneering products and applications for Samsung. Our team is composed of world experts in machine learning, computer vision, neuroscience, and robotics. We also collaborate with leading academic groups as well as other Samsung research centers around the globe.

We are currently seeking individuals who share our passion and motivation to advance fundamental science and create revolutionary prototypes. Team members will have the intellectual freedom to cultivate their research agenda by partnering with universities and publishing in leading scientific conferences and journals.

Position Summary:
Building autonomous robotic systems requires addressing challenging problems regarding real-time perception, decision-making, high-dimensional planning, and robust motor control. As a Research Engineer in Robotics, you will help overcome these technical challenges. You will work closely with other Research Scientists and Engineers in collaborative, interdisciplinary teams to discover, invent, and build things that have meaningful real-world impact. The Samsung AI Center in New York will lead in turning fundamental scientific discoveries into revolutionary products that reach hundreds of millions of users across the world. We are especially interested in engineers with experience in deploying computer vision systems in real-world applications.

Experience Requirements:
This position requires significant experience performing software engineering, in C/C++ and Python. Our research engineers are expected to create new technologies, therefore they have to be able to adapt to rapidly changing research tools and landscape. Proficiency in Git and Linux is expected.

Other requirements include:

• B.S. in Computer Science, Electrical or Mechanical Engineering or related disciplines
• Experience with robot systems
• Programming experience in one or more of the following:
o C, C++, Python, and/or functional programming languages
• Good communication skills, both verbally and in writing
• Ability to excel independently and in collaborative teams
• Motivation to initiate and accomplish ambitious research agenda

Lab Summary:
SAIC-NY is Samsung’s new, forward-looking AI Research center located in New York, NY. The goal of SAIC-NY is to conduct fundamental research at the intersection of robotics and neuroscience and to develop prototypes and demonstrations of pioneering products and applications for Samsung. Our team is composed of world experts in machine learning, computer vision, neuroscience, and robotics. We also collaborate with leading academic groups as well as other Samsung research centers around the globe.

We are currently seeking individuals who share our passion and motivation to advance fundamental science and create revolutionary prototypes. Team members will have the intellectual freedom to cultivate their research agenda by partnering with universities and publishing in leading scientific conferences and journals.

Position Summary:
As a Research Scientist in Robotics, you will be responsible for tackling unsolved problems in manipulation and mobile robotics. You will work closely with other Research Scientists and Engineers in collaborative, interdisciplinary teams to discover, invent, and build things that have meaningful real-world impact.

The Samsung AI Center in New York will lead in turning fundamental scientific discoveries into revolutionary products that reach hundreds of millions of users across the world. We are especially interested in candidates whose research lies at the intersection of computer vision and 3D geometry; as well as those whose work is at the action-perception interface in general

Experience Requirements:
• Ph.D. in Computer Science, Electrical or Mechanical Engineering or related disciplines (Non-PhD applicants, please see our Engineer posting)
• Expertise with robot systems and autonomy.
• Programming experience in one or more of the following:
o C, C++, Python, and/or functional programming languages.
o Familiarity with deep learning architectures and frameworks
• Strong record of publishing papers at top-quality robotics conferences and journals.
• Superior communication skills, both verbally and in writing.
• Ability to excel in international and collaborative teams.
• Motivation to initiate and accomplish ambitious research agenda.