Job Board

We’re Cruise, the self-driving ride-hailing service.

We are building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving cars will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

Cruisers have the opportunity to define new ways of working and learn from world-class leaders in their field. This is a place for dreamers and doers to succeed.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.

What you'll be doing:
As an Applied Research Scientist Intern - Computer Vision, you will contribute to research projects that address the everyday challenges that happen on urban roads, ones that do not have standard solutions available. On a day-to-day basis, you will assist with:

- Problem formulation
- Modeling / architectural design
- Experimental design
- Prototyping
- Validation

What you must have:
- Current PhD student in computer vision, machine learning or a related field with research publications in top conferences or journals
- Expertise in at least one of these specific areas: 2D/3D object detection, semantic / instance segmentation, fine-grained attribute understanding, human pose / gesture recognition, image sequence / semantics understanding, image embedding, visual/LIDAR-based tracking, multi-object tracking, and vision-based behavior prediction
- Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
- Strong programming skills in Python and/or C++
Experience using deep-learning frameworks, e.g., TensorFlow, PyTorch, etc
- Strong verbal and written communication skills

Why Cruise?

Our benefits are here to support the whole you:
- Competitive pay
- Housing and commuter stipend
- Healthy meals and snacks provided
- Events throughout internship

We’re Integrated
- Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded
- GM, Honda, SoftBank, and T. Rowe Price have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

We’re Independent
- We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the bleeding-edge of technology, but also define it.

Cruise LLC is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with Cruise to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way.

We also consider for employment qualified applicants regardless of criminal histories, consistent with applicable laws. And, if you believe that you will need any type of accommodation, please let us know.

We’re building an innovative ecommerce platform, applying computer vision and deep tech to clothing. With world -class founders from leading academic institutions and companies, we are a team that is on mission to disrupt and improve how everyone shops for clothes.

Aistetic was founded with a clear purpose: to make tailoring accessible to more people wherever they are. And our mission is to do so sustainably, reducing waste, and encouraging a more sustainable approach to clothing.

We are a University of Oxford Spinout, applying state of the art computer vision and deep learning to the real world problems associated with shopping for clothes online.
Who are we looking for?
We’re looking for a world-class senior software engineer in computer vision and deep learning. You’ll be a hands on, creative problem solver with the technical skills and hunger to build a novel technology solution. As one of the first employees, you will have an opportunity to shape Aistetic. You’ll be a vital member of our team leading the commercial coding and development of our state of the art algorithm and model working with our 1st retail customer. You’ll be used to and enjoy working with large data sets, agile processes, customer involvement, and frequent technical and consumer testing. You’ll launch, run and monitor our development, working closely with our team of engineers (computer vision and full stack) and a University of Oxford post-doctoral researcher to deliver accuracy, features and performance.
Requirements

• You’re fluent in Python and may have experience in C++, PyTorch, Tensorflow, OpenCV, MATLAB
• You have experience and/or education (BSc/MSc/PhD) in Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence, Computer Graphics, Design & Analysis of Algorithms
• You have hands on software engineering experience in a fast-moving and innovative industry
• You are curious to learn, go straight in, enjoy getting stuff done and discovering how things work
• You’re excited about being part of a high performing, self-organising team on a pioneering mission
• You are collaborative and able to translate technology into robust commercial solutions
• You want to shape the future of clothes purchasing and are passionate about delivering sustainable solutions
Bonus Skills
• Experience with Google Cloud Partners, AWS, or a similar cloud platform
• A working knowledge of Linux build tools, with experience across the full software development lifecycle
• An appreciation of solutions architecture and enterprise software requirements
• Start-up experience
Benefits
• Join a fast paced start up on a mission to build the solution and future of retail shopping
• Benefit from working closely with our founders who have previously run large businesses, launched successful innovation and started tech companies
• Work closely with world-class engineers, researchers at the University of Oxford’s Torr Vision Group http://www.robots.ox.ac.uk/~tvg/
• Have an immediate impact on a smart, growing, low-ego multi-cultural team
• Grow with us as we scale up whilst delivering meaningful work that really matters
• Enjoy a tailored rewards package including a competitive salary, with private health insurance, bike, gym membership, pension and equity incentive scheme as reward options to choose from
• Additional benefits: Oxford location, free tea, coffee, fruit and monthly team lunches & dinners

**Company Description**
At Kinetic Eye we believe that it is up to us to build the autonomous future where we want to live. That's why we're building the first AI-based cloud platform that makes some of the most dangerous jobs in the world safer and more engaging. Our team brings over 30 years of experience in industrial robotics, self-driving cars, and enterprise software product development to the modernization of manufacturing and logistics.

If you like the idea of getting in on the ground floor of a startup with an experienced technical team and getting your work into the real world within days, then Kinetic Eye might be for you.

**Role Description**
We are looking for a machine learning engineer (deep learning, vision) to help save lives by identifying real-world hazards in industrial workplaces. On a typical day, you’ll share the latest research on computer vision and deep learning with our diverse team of engineers and product managers, kick off training of a new hazard detector, and review the results of a pilot with one of our manufacturing customers. You should know the difference between a PoC and a mature product and be able to navigate the prudent path from the former to the latter in collaboration with Data Engineering, Product Engineering, Data Science, and Field Engineering.

**Responsibilities**
* Plan and execute cutting-edge research to advance hand, body, and object tracking
* Contribute to real-time computer vision systems deployed in diverse field environments
* Mentor and lead team mates to advance our research and development goals
* 5+ years experience developing software in computer vision, robotics, machine learning or computer graphics
* Experience in camera calibration and localization with knowledge of 3D transformations
* Interpersonal experience: cross-group and cross-culture collaboration

**Requirements**
* 5+ years experience with 3D computer vision - specifically real-time tracking or pose estimation (e.g., of objects, hands, bodies, faces, vehicles, objects, etc.), object detection, and appearance modeling
* 2+ years experience developing deep learning algorithms, such as using convolutional neural networks or recurrent neural networks. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, and publications

Kinetic Eye is proud to be an **Equal Opportunity and Affirmative Action** employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Amazon Prime Video is changing the way people watch movies, TV shows, Channels and Live Events, offering the greatest choice in what to watch on-demand or in real-time on large gamut of devices (mobile phone, PCs, Macs, gaming consoles and Fire TV etc.). We are at the forefront of the entertainment industry and growing fast - now available in more than 240 countries and territories worldwide. We work in a dynamic, and exciting environment where innovating on behalf of our customers is at the heart of everything we do.

Digital Media Engineering (DME) builds and operates systems that ingest, process and transform digital media (e.g. video, audio, timed text) into engaging experience for streamers. We leverage Machine Learning (ML) and Computer Vision (CV) tech to remove defects from the media, semantically analyze (e.g. video meta-data extraction) and enrich (e.g. annotations) it to shape the streamer CX before (Search, Discovery & Detail Page) and after (Skip Intro, Next Up) the “play button is pressed”.

We are building a new team for Applied Science and are looking for specialized talent to join us in our mission to build deep expertise in 1) Semantic video understanding – for unlocking information from catalog to enhance search and discovery experiences; 2) Automatic extraction and generation of content – for new and engaging experiences and increasing coverage by auto generating Subs and Dubs; and 3) Multimodal learning – for identifying the scene boundaries for broad application in various video streaming solutions like insertion of advertisements at accurate scene transitions.

As a Principal Applied Scientist you will be the founding member and thought leader for the team. You will apply state of art computer vision research to video centric digital media. You will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent. You will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership. You will work with talented peers and a number of senior and junior scientists on the team as well as have the opportunity to grow the science team to meet the always increasing needs of our customers.

It has never been a more exciting time for AI and Computer Vision.We are in a green-field space of research which is overdue for disruption. To know more about this once-in-a-lifetime opportunity to shape the future of streaming video - please mail/chime me at – vimalb AT amazon DOT com.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications
• PhD in machine learning, operations research, applied mathematics or a related field with minimum 10+ years of industry experience.
• Publications at top-tier peer-reviewed conferences or journals.
• Fluency in a high-level modeling language such as R, Python, Matlab or other statistical software.
• Knowledge and experience with popular deep learning frameworks (e.g. Tensorflow, Keras, Caffe).
• Expertise in Video processing algorithms and standards, cinematography, and post production.

Preferred Qualifications
• Serve as a lead on our most demanding, cross-functional projects and ensure the quality of the solutions.
• Contribute intellectual property through patents and leverage knowledge of internal and industry prior art.
• Assist in the career development, actively mentoring individuals and the community on advanced technical issues.
• Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
• Effectively research and benchmark Amazon technology against other competing systems in the industry.

SRI International creates world-changing solutions to make people safer, healthier, and more productive. SRI’s Center for Vision Technologies (CVT) at Princeton, NJ offers end-to-end vision solutions that translate into real-world applications. Our center is a leader in computer vision solutions for defense, security, robotics, and the training marketplace. Our scientists pioneered real-time, real-world computer vision with the early development of pyramid/wavelet processing that enabled analysis with unprecedented speed and precision. They continue today with a broad array of advances in visual navigation, 3D scene modeling, and object and activity recognition.

The Vision & Robotics Lab in CVT is currently searching for a Computer Scientist to work on projects that aim to create next generation scene understanding and navigation technologies, with applications to autonomous robots and augmented reality. You will also help develop algorithms, software and applications in areas such as Multi-Modal Target Detection or Classification, Visual Localization, and Geo-Search and Registration.

Additional Responsibilities of the position include:
• Ability to provide innovative algorithms with high-quality implementation skills.
• Work effectively in a team to achieve the goals of projects and deliver software and systems to external clients.

Qualifications:
• PhD or Masters in Computer Science, Electrical Engineering, or related fields.
• Experience with implementing Deep Learning algorithms for computer vision or robotics applications is required.
• Experience in at least one of the following areas: Multi-Modal Fusion, Deep Reinforcement Learning, Lifelong Learning, Object Detection and Classification, Semantic Segmentation, Depth Estimation, 3D Mapping and Modeling, and Motion Estimation.
• Experience with real-time systems is considered a plus.
• Due to government project requirements, the preference for this position is US citizen or US permanent resident.

Please email your resume to han-pang.chiu@sri.com if you are interested.

Best,

Han-Pang Chiu, Ph.D.
Senior Technical Manager
Scene Understanding and Navigation
Center for Vision Technologies
SRI International
Princeton, NJ, USA

The 360Lab is located at the Interdisciplinary Research Centre for Security, Reliability and Trust(SnT) of the University of Luxembourg. In association with ​ Civil Maps​ , ​ a provider of HD mapping technology for fully autonomous vehicles, we are conducting research in the area of Connected and Automated Driving, High Definition mapping and localization using Artificial intelligence based technologies.

You will implement novel deep learning algorithms for fusion of Video/Image and LiDAR data in a perception system.
You compare with state-of-the-art, evaluate on public benchmark and internal real-world data sets.
Your algorithms improve object detection and classification for automated navigation.

Education: ​ Studies in the field of computer science, robotics, mathematics, physics or electrical engineering with excellent academic achievements.
Working Practice:​ flexible and goal-oriented .
Experience: ​ Excellent knowledge of machine/deep learning and corresponding
frameworks like tensorflow and experience with multimodal sensor data, preferably Video, Radar, LiDAR.
Knowledge:​ excellent programming skills (C++, Python) and experience in ROS is a
strong plus.
Language: ​ Fluent English spoken and written.
Start: ​ As soon as possible​ or according to prior agreement ; ​ Length of this internship:​ 6 months. ​ ​ Type : ​ Paid internship​ (as per university norms).

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype, Skype for Business, and Teams). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Senior Machine Learning Scientist who is passionate about machine learning and driven to make an impact.

Responsibilities
Apply machine learning to improve existing and develop new algorithms to improve Skype/Teams real-time collaboration quality and reliability
Understand and be able to leverage core concepts of video processing and/or audio processing
Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.
Drive independent investigations resulting in shipping product code, patents, and publications

Qualifications
Masters. or Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent
Minimum of 4 years of professional experience in machine learning using tools like CNTK/TensorFlow/Pytorch/Scikit-learn, etc.
Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype, Skype for Business, and Teams). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Senior Software Development Engineer who is passionate about software development and machine learning and driven to make an impact.

Responsibilities
Apply machine learning to improve existing and develop new ML-based components to improve Skype/Teams real-time collaboration quality and reliability or add new functionality
Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.
Drive independent investigations resulting in shipping product code, patents, and publications.

Qualifications
BS in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent
Minimum of 6 years of professional experience in software development
Minimum of 1 years of experience in machine learning using tools like TensorFlow/ Pytorch/Scikit-learn, etc.
Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

The Intelligent Conversation and Communications Cloud AI group (IC3) applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype, Skype for Business, and Teams).

We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Senior Machine Learning Engineer who is passionate about machine learning applications and driven to make an impact.

Primary responsibilities:
Apply and deploy machine learning solutions to improve Skype/Teams real-time collaboration quality and reliability.
Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.
Understand and be able to leverage core concepts of machine learning.
Drive independent investigations resulting in shipping product code, patents, and publications.

Required Qualifications:
4 years of experience in software development experience, preferably machine learning-focused.

Preferred Qualifications:
Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent.
Deep knowledge of machine learning principals to solve complex problems.
Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

Reshaping the Future of Trusted Digital Media

The Position:
Steg AI is seeking a full stack developer to spearhead the creation of a cloud-based web application. This web app will enable customers to use our proprietary watermarking algorithms for protecting their digital media. Expertise with developing modern web applications on cloud service platforms (preferably GoogleCloud) is required. This is ideally for a full time role (though part time is possible) in New York City or remotely. We are hoping this position will evolve with the growth of the company into a lead or engineering manager position.

About Steg:
Steg AI is reshaping the future of trusted digital media. We’re doing this by developing the next generation of watermarking, steganography, and media forensics algorithms. We are a small team of friendly, curious people who want to create technology to make the world a better place.

Base Qualifications:
Strong cultural fit with good communication skills, attitude, and work ethic
Significant Development Experience with Cloud Platforms (e.g. Azure, AWS, GoogleCloud)
Significant HTML+CSS+Javascript (+toolkits) Experience
Bachelor’s degree in Computer Science (related field) or equivalent work experience
2+ years of professional software development experience

Bonus Qualifications:
Watermarking, Steganography, Computer Vision, and Machine Learning Expertise
Experience deploying computer vision algorithms on the cloud
Mobile App Development Experience
PyTorch experience

Contact: Please send your resume/CV to careers@steg.ai

At TU Dresden, the Chair of Machine Learning for Computer Vision invites applications for a

Postdoc Position: Discrete Optimization for Machine Learning

Salary level: TV-L E14, 100%

Tasks:
- Pursuit of an excellent independent research agenda in the area of discrete optimization for machine learning
- Blue skies, curiosity-driven research
- Publication of findings in internationally leading conferences and journals
- Co-supervision of doctoral students
- Acquisition, management and execution of third-party funded research projects
- Support to teaching.

Requirements:
- University and doctoral degree in mathematics or computer science or a related discipline
- Excellent research in the area of discrete optimization, certified by recent publications in highly ranked conferences and journals
- Excellent research agenda in the area of discrete optimization for machine learning
- Teaching experience
- Very good scientific writing and communication skills in English. Knowledge of German is not required for this position.

Application documents: CV, list of publications, brief research statement, degree certificates, transcript of records (preferably as a single PDF file)

Further information: https://mlcv.inf.tu-dresden.de/positions.html

Contact: mlcv@tu-dresden.de

We are seeking a postdoctoral fellow with experience in machine learning to develop techniques for tracking and real-time health assessment of pigs. This is an interdisciplinary project between the College of Engineering and the College of Veterinary Medicine to develop novel precision livestock farming techniques--creating social and economic value for farmers. We have developed and installed robust imaging sensor systems on farms, and are seeking a researcher to create animal health assessment algorithms.

Responsibilities:
Develop, implement and test machine learning techniques on large multi-modal animal datasets.

Requirements:
Ph.D. in engineering or computational sciences with experience in developing and implementing neural networks, and ideally experience in tracking.
Good programming skills in Python using TensorFlow and/or Pytorch and OpenCV
Good software skills including Docker and bash scripting

Excellent salary.

The Imaging Systems group at the Johns Hopkins University Applied Physics Laboratory (JHU/APL) seeks a post-doctoral researcher in computer vision and machine learning to develop novel methods for fully self-supervised representation learning to automate cross-modal image, 3D point cloud, and 3D mesh parametric and dense co-registration. You will be joining our team of scientists and engineers dedicated to the development of novel imaging and perception systems for remote sensing and Earth observation. As a post-doctoral research scholar at JHU/APL, you will have some freedom to create a research agenda and collaborate with other researchers both in the group and throughout the laboratory. For candidates who prefer to work remotely due to the COVID-19 pandemic, we encourage you to apply. Many of our staff are working remotely and learning to successfully collaborate under that constraint.

Position requirements:
- Strong publication record in machine learning applied to computer vision and/or remote sensing
- Strong programming skills, machine learning expertise, and understanding of open source machine learning libraries (e.g., Tensorflow)
- Demonstrated strong communication, teamwork, and leadership skills
- Recent PhD (or post preliminary exam) in Computer Science, Electrical Engineering, or related technical field
- US citizenship

Please visit https://www.jhuapl.edu/About to learn more about JHU/APL.

We are seeking a full-time Postdoctoral Research Assistant to join Professor Torr's research group at the Department of Engineering Science (central Oxford). This post is fixed term to the 31st August 2021 with funding provided by Innovate UK.

The group is an internationally leading research group that has numerous scientific awards and has close links with some of the top industrial research labs, more information can be found here http://www.robots.ox.ac.uk/~tvg/.

The research that will be carried out within this project requires application and advancement of the most recent techniques in the subjects of Image based 3D reconstruction, Human body statistical analysis, and Deep Learning of 3D shapes. These are all active research areas, and we have an opportunity to both collate the current state of the art and to drive the direction of future research. You will be responsible for the development and implementation of novel computer vision and learning algorithms to automate 3D reconstruction of humans from video.

You should possess a doctorate, or be near completion of doctorate, in Computer Vision Machine Learning or a relevant subject, together with a strong publication record at principal computer vision or machine learning conferences (NIPS, ICLR, ICML, CVPR, ECCV, ICCV), with a background in machine learning.

Informal enquiries may be addressed to philip.torr@eng.ox.ac.uk.

Only applications received before midday on 15th July 2020 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join Professor Torr's research group at the Department of Engineering Science (central Oxford). This post is fixed term for 12 months with funding provided by an industrial partner.

The group is an internationally leading research group that has numerous scientific awards and has close links with some of the top industrial research labs, more information can be found here www.robots.ox.ac.uk/~tvg/.

You will be responsible for developing new approaches for automatic hand parsing on monochrome images of one or two hands, including challenging cases such as hand-hand interaction (and possibly hand-object interaction). Solving these hand parsing problems will provide topological and structural information that can be used in conjunction with other methods for automatic hand segmentation, hand pose estimation and gesture recognition.

You should possess a doctorate, or be near completion of doctorate, in computer vision, machine learning or a relevant subject, together with a strong publication record at principal computer vision or machine learning conferences (NIPS, ICLR, ICML, CVPR, ECCV, ICCV), with a background in machine learning.

Informal enquiries may be addressed to Philip Torr using the email address below.

You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

Only applications received before 12.00 midday on 18 June 2020 can be considered.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

This is an exciting opportunity to join a new entity at its very early stages.

Our company:
CovisionLab is a Computer Vision and AI focused research and application center founded by seven world-leading technology companies. We cooperate with their R&D teams to translate state-of-the art research into technology by harnessing computer vision, sensor fusion and machine learning. We team up with university researchers to delve into disruptive opportunities. Our aim is to accelerate technology adoption in industrial automation through collaborative competitive advantage in Computer Vision and AI. Check out our website for more information at covisionlab.com.

Our vision for this role:
As a Computer Vision Research Engineer you will be at the core of our research team alongside applied scientists and the R&D teams of our founding companies. You will be implementing, validating and optimizing the latest research developments to meet specific innovation needs while pushing forward the state-of-the-art in applied 3D vision. There will be opportunities to concretely contribute and influence the innovation roadmap of our companies by supporting their R&D teams in the technology transfer process.

How you will help:
• You’ll be converting state-of-the-art research to reliably working prototypes and keep up-to-date with the latest computer vision and deep learning developments.
• You'll play a key role in identifying the limitations of state-of-the-art research in relation to industry needs, as well as addressing them through focused development.
• You'll design and develop components of multi-sensor computer vision systems to handle complex scenarios of production, inspection, quality control, and other industrial processes.
• You'll customize and train the latest deep learning model architectures on a plurality of multi-camera data to handle complex scenarios of production, inspection, quality control, and other industrial processes.

The capabilities we are looking for:
• Understanding of computer vision algorithms and ability to implement them with coding best practices.
• Ability to deep-dive into research papers, down to a technical depth required to translate them into code using both existing toolkits and self-developed code.
• Good knowledge of active and passive vision sensors (mono, stereo, time-of-flight, lidar, thermal), their imaging process, and optimal operating conditions.

Basic requirements:
• Master's degree in computer science or related field
• Experience in coding computer vision and machine learning algorithms in C/C++ and hands-on experience with computer vision and deep learning frameworks such as OpenCV and PyTorch, Tensorflow or MXNet.

This is a FULL-TIME role located onsite at our Bressanone/Dolomites offices (South Tyrol region, Italy).

If you are interested, please send an email to careers@covisionlab.com

This is an exciting opportunity to join a new entity at its very early stages.

Our company:
CovisionLab is a Computer Vision and AI focused research and application center founded by seven world-leading technology companies. We cooperate with their R&D teams to translate state-of-the art research into technology by harnessing computer vision, sensor fusion and machine learning. We team up with university researchers to delve into disruptive opportunities. Our aim is to accelerate technology adoption in industrial automation through collaborative competitive advantage in Computer Vision and AI. Check out our website for more information at covisionlab.com.

Our vision for this role:
As a Computer Vision Research Engineer you will be at the core of our research team alongside applied scientists and the R&D teams of our founding companies. You will be implementing, validating and optimizing the latest research developments to meet specific innovation needs while pushing forward the state-of-the-art in applied 3D vision. There will be opportunities to concretely contribute and influence the innovation roadmap of our companies by supporting their R&D teams in the technology transfer process.

How you will help:
• You’ll be converting state-of-the-art research to reliably working prototypes and keep up-to-date with the latest computer vision and deep learning developments.
• You'll play a key role in identifying the limitations of state-of-the-art research in relation to industry needs, as well as addressing them through focused development.
• You'll design and develop components of multi-sensor computer vision systems to handle complex scenarios of production, inspection, quality control, and other industrial processes.
• You'll customize and train the latest deep learning model architectures on a plurality of multi-camera data to handle complex scenarios of production, inspection, quality control, and other industrial processes.

The capabilities we are looking for:
• Understanding of computer vision algorithms and ability to implement them with coding best practices.
• Ability to deep-dive into research papers, down to a technical depth required to translate them into code using both existing toolkits and self-developed code.
• Good knowledge of active and passive vision sensors (mono, stereo, time-of-flight, lidar, thermal), their imaging process, and optimal operating conditions.

Basic requirements:
• Ph.D in computer science or related field, or a Master's degree with equivalent industry experience in computer vision or image processing
• Experience in coding computer vision and machine learning algorithms in C/C++ and hands-on experience with computer vision and deep learning frameworks such as OpenCV and PyTorch, Tensorflow or MXNet.

This is a FULL-TIME role located onsite at our Bressanone/Dolomites offices (South Tyrol region, Italy).

If you are interested, please send an email to careers@covisionlab.com

Founded by Dr. Yuanqing LIN in November 2017, Aibee is a leading AI startup providing AI full solutions, and its mission has been to empower and upgrade vertical industries with AI. We are a leading company in the application of AI technologies for retail, has developed full AI solutions for offline retailers that allow closing the loop among data, algorithms, technologies, 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 Palo Alto or Boston office, 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:

• Object Detection, Segmentation, and Classification
• Pose Estimation and Tracking
• Activity Recognition
• Re-identification
• SLAM

Proffered 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++.

For more openings please go to our career page: https://cvpr.aibee.cn/

Multiple Openings for Research Scientists and Interns at Upload AI, LLC, interested to Upload Neuroscience and Cognitive science knowledge into new AI.

Deep learning surpasses humans in many tasks but does not generalize well to new situations like humans do, and lacks interpretability. These flaws limit the utility of AI systems in interactions with humans. If you are interested in how to build less artificial, more intelligent and interpretable algorithms by learning from brains and human behavior and cognition, join our team! We are hiring at all levels, from interns to research scientists and engineers. We are looking for enthusiastic machine learning scientists and engineers with an entrepreneurial startup spirit with strong backgrounds in math, statistics, and machine learning (no experience in neuroscience, psychology or cognitive science is necessary). We aim to create the next generation of AI algorithms that will be more robust, generalize better, and can cooperate intuitively with humans.

POSITIONS:
We have opportunities to work on several AI projects in the US and Europe at multiple locations. All team members will interact extensively across multiple scientific disciplines and multiple sites. Highest-priority topics include:
* Brain-inspired deep networks for vision and auditory perception with an emphasis on better generalization and interpretability.
* Meta-learning, continual learning and few-shot learning with applications in object detection.
* Efficient optimization algorithms for non-convex, non-smooth functions with applications in active learning.

THE TEAM:
The projects are led by Andreas Tolias, Xaq Pitkow and Jacob Reimer from Baylor College of Medicine, Matthias Bethge from University of Tübingen and the European Laboratory for Learning and Intelligent Systems, and Shell Xu Hu from Upload AI LLC.

APPLYING: The positions provide highly competitive salary and benefits, and outstanding scientific and career development opportunities. Applicants should email CV to info@uploadai.com. We look forward to hearing from you!

Founded by Dr. Yuanqing LIN in November 2017, Aibee is a leading AI startup providing AI full solutions, and its mission has been to empower and upgrade vertical industries with AI. We are a leading company in the application of AI technologies for retail, has developed full AI solutions for offline retailers that allow closing the loop among data, algorithms, technologies, 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 Palo Alto office, 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:

• Object Detection, Segmentation, and Classification
• Pose Estimation and Tracking
• Activity Recognition
• Re-identification
• SLAM

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++.

At NYU Center for Cybersecurity we are looking for post-doctoral researchers interested in the intersection of machine learning, computer vision and security. Our group specializes in media security applications (e.g., detection of falsified or synthetic media) and aims to explore novel approaches to verification and assurance of media integrity in next-generation multimedia systems. Successful candidates should be capable of independent research, formulation of new research problems, and rapid prototyping in a collaborative environment. Appointments for minimum of 2 years. Position to be filled immediately.

Check out our keynote talk at the Media Forensics CVPR Workshop 2020:
“AI, Computational Imaging & The Battle for Media Integrity” https://www.facebook.com/mediaforensics2020/videos/556737144968957/

For more information about the benefits & the application process, please refer to:
https://www.nyu.edu/employees/benefit.html
https://apply.interfolio.com/72633

Before applying, please reach out to Prof. Nasir Memon <memon@nyu.edu>

Required skills:
- PhD in computer vision / machine learning / signal processing / security / etc.
- Track record of publications in top venues in your field
- Strong programming skills (Python / Tensorflow)
- Strong communication and technical writing skills

JOB DESCRIPTION

Sony Depthsensing Solutions is looking for a 3D Computer Vision Engineer to work on next generation vision algorithms/applications in their Brussels location. This position is part of the strategic research team which is evaluating how next generation hardware will enable the vision algorithm to run better. These vision algorithms will be used in our next generation of DepthSense® products.

RESPONSIBILITIES

In this 3D Computer Vision Engineer role, you will:

Analyze currently available computer vision algorithms and propose effective ways to implement them on dedicated hardware architectures
Share your broad knowledge of Computer Vision algorithms with the team and other members of the company
Work with local and remote experts in IC design, System design and Computer Vision
Occasionally travel abroad to attend conferences and meet experts

QUALIFICATIONS
You have a Masters degree in Computer science or Mathematics or similar by experience (PhD is an asset)
You have ideally 3 to 5 years experience in Computer Vision in general
You have C++ and/or Python programming skills
You are fluent in English

The following qualifications would be additional assets:
Experience in 3D vision
Experience in mapping algorithm on hardware
Experience in Machine Learning

The Remote Sens­ing Image Ana­lysis Group is seek­ing a highly motiv­ated Post­doc­toral Rese­ar­cher with a strong record of accom­plish­ment in machine learn­ing and com­puter vis­ion. The suc­cess­ful can­did­ate will con­duct rese­arch and deve­lop advan­ced deep learn­ing based algo­rithms for satel­lite image search/retrie­val from large scale data archi­ves and seman­tic scene under­stand­ing. This will ent­ail the devel­op­ment of novel deep learn­ing mod­els that can address the prob­lems on incom­plete, noisy and imbal­anced train­ing sets for scal­able image search, retrie­val and clas­si­fic­a­tion. This rese­arch activ­ity is a part of the ERC-fun­ded pro­ject: BigE­arth - Accur­ate and Scal­able Pro­ces­sing of Big Data in Earth Obser­va­tion (http://bigearth.eu).

Connect start-of-the-art AI conferences works to CyberSecurity industry and Trend Micro.
Reproduce AI models from the latest AI papers and provide feasibility evaluation applying it in other domains and contexts.
Implement scalable AI models and evaluate them in real-world applications while working closely with research, engineering, and product teams.
Explain complex research problems to non-technical audiences.
Summarize the works and compile them to publish-ready papers.

As a Deep Learning & Computer Vision Engineer, you will be responsible for leading the deep learning efforts of the company and will be working closely with the technology team to push the limits and capabilities of volumetric video to the next level! You will have the opportunity to research, design and implement novel algorithms and publish at top-tier conferences (e.g. CVPR, ECCV, ICCV, BMVC, SIGGRAPH) in areas such as object segmentation, scene understanding, 2D/3D human pose estimation and 3D human reconstruction. We encourage you to talk publicly about your work at conferences, meetups, and on our blog. You will be part of a multi-cultural team of highly talented individuals where your contribution will revolutionise the way people create immersive content.

Do you love cracking deep neural networks? Do you live and breath optimising deep learning architectures and maximising their performance? Are you insanely intrigued with the idea that your algorithms will be part of a technology that will disrupt the AR market and the way people create volumetric video content? Do you want to contribute towards a truly innovative product the market has never seen before? Do you want to be part of an extremely ambitious and talented team who are on a mission to make this product a reality?

Then definitely this job is for you!