Job Board

To post new jobs:

Please submit the job post request through this link, and it will normally show up below within a week. If you have any questions, please contact the web chairs: Tianfan Xue (tianfan@google.com) or Tian Lan (tianlan@amazon.com).


Computer Vision Scientist

We are searching for a Computer Vision Scientist to be part of a dynamic team building the next generation of tools for the development of synthetic data for CV algorithms. The ideal candidate will be a strong software engineer with a deep understanding of ML/DL fundamentals and a passion for understanding, implementing and building upon bleeding-edge algorithms. This role has the potential for enormous growth as we are a well funded young startup looking to establish a new paradigm for computer vision.

ROLE
As a member of the machine learning team, you will play a key role in proving the value of synthetic data to the world. We are applying our technology to a wide range of CV tasks (e.g. detection, tracking, segmentation, pose estimation), and you will help us build out these capabilities.

RESPONSIBILITIES
Train computer vision models across a wide range of tasks (e.g. detection, tracking, segmentation)

Implement new algorithms in PyTorch and integrate into our wider codebase

Perform exploratory data analysis to uncover opportunities to further optimize our synthetic data

Follow the latest deep learning research and participate in team discussion regarding R&D priorities

Write academic papers, client reports and blog posts showcasing our algorithmic capabilities and/or the value of our data

MINIMUM REQUIREMENTS
MS or PhD in Computer Science or related field, or equivalent practical experience

3+ years experience in deep learning and computer vision

Strong software engineering skills (Python, git, linux, etc.)

Experience with at least one deep learning framework (PyTorch, Tensorflow, etc.)

Quick learner who is able to thrive in a fast-paced startup environment

NICE-TO-HAVES
Practical experience with deep reinforcement learning

Programming skills in a compiled language (C++, Java, etc.)

Experience deploying vision models to the edge

WHAT’S IN IT FOR YOU
Competitive Pay

Stock Options

Full Benefits

Unlimited PTO

The chance to work on challenging problems with great people

More info | Contact: Loida Valentin | Posted on: 2020-06-24

Postdoctoral Positions in Computational Neuroscience

Several Postdoctoral Fellow positions in advancing brain MRI analysis, including developing deep learning predictors and embedding their findings within a neuroscientific context, are available immediately at the Computational Neuroscience Lab (http://cnslab.stanford.edu), Stanford University. The successful candidate will contribute to research and development in the coherent and robust multi-modal analysis of longitudinal brain MR images collected across multiple sites. The research projects are funded by the NIH, such as the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA; http://www.ncanda.org; 5K MRI sessions). The researcher will work in a multidisciplinary research environment closely collaborating and publishing with imaging, computer, and neuroscientists at Stanford University and SRI International.

Qualifications:
We are seeking highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. Successful candidates should have a PhD (or equivalent) in Computer Science, Neuroscience, or related field. The applicant can either be an expert in machine learning, deep learning, and statistical methods for medical image analysis, or an individual with a strong background in computational or system neuroscience. Expertise in DTI or fMRI is a plus.

Laboratory:
The Computational Neuroscience Lab (http://cnslab.stanford.edu) is federally funded to perform multidisciplinary research focusing on developing deep learning technology to identify biomedical phenotypes specific to substance abuse, sleep, HIV, and adolescent brain. Studies are performed on MR imaging systems on the SRI site and in collaboration with other centers, such as those being part of NCANDA or the Adolescent Brain Cognitive Development (ABCD) Study. The studies are supported by the software platform Scalable Informatics for Biomedical Imaging Studies (SIBIS; https://sibis.sri.com), which is developed by our interdisciplinary team of researchers consisting of clinicians, computer scientists, data scientists, physicists, and psychologists.

Application:
Please send applications (curriculum vita and contact information of three references) or questions to kilian.pohl@stanford.edu.

Kilian M. Pohl
Associate Professor
Department of Psychiatry and Behavioral Sciences
Stanford University

Program Director of Biomedical Computing
Center for Health Sciences
SRI International

http://cnslab.stanford.edu/personal/kilian-pohl

More info | Contact: Kilian Pohl | Posted on: 2020-06-24

Postdoctoral researcher: Deep learning automated dominant intraprostatic lesion for image-guided radiation therapy

One to two openings are now available for a research appointment in the Department of Medical Physics at the postdoctoral level for individuals interested in medical image analysis research. The two-year research projects will focus on the development of advance deep learning-based analysis of multi-parametric MRI images for automated detection and volumetric segmentation of dominant prostatic lesions for aiding in real-time MR guided radiation therapy on the new MRI guided linear accelerator (MR-LINAC) systems. The project entails development of deep learning algorithms for detecting and classifying domain index lesion, volumetric segmentation, and tracking of whole prostate gland and the dominant lesion for real time guidance. This project led by computer scientist, Dr. Harini Veeraraghavan and MRI medical physicist, Dr. Neelam Tyagi, will also involve working with radiation oncologists and radiologists. This will be a wonderful opportunity for a computational scientist trying to further develop advanced deep learning methods as well as learn how these techniques can be translated and are applied into clinical patient care.

Successful execution on the project is expected to result in high impact technical and clinical publications, as well as implementation of the software prototype in to the clinical treatment planning workflow in coordination with our team of developers and physicists. Ideal candidates must have strong programming background (python) with knowledge of machine learning applied to computer vision or medical image analysis. Deep learning knowledge and some image registration/segmentation development experience is highly desirable. Candidates are expected to have excellent written and oral communication skills for writing manuscripts and presenting to multi-disciplinary audiences.

The Department of Medical Physics consists of over forty faculty physicists plus support staff working on various physical problems related to the diagnosis and treatment of cancer.

Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, and is recognized as a world leader in clinical cancer care and research.
Interested candidates should send a resume and list of three references by July 30, 2020 via e-mail to:
Harini Veeraraghavan, Ph.D.
Assistant attending computer scientist
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave.
New York, NY 10065
e-mail: veerarah at mskcc.org

More info | Contact: Harini Veeraraghavan | Posted on: 2020-06-24

PHD ON DEEP LEARNING IN LIFELONG LEARNING AND GENERATIVE MODELS IN BARCELONA

TITLE: PHD ON DEEP LEARNING IN LIFELONG LEARNING AND GENERATIVE MODELS IN BARCELONA

ORGANISATION AND LOCATION: Computer Vision Center Barcelona, Spain
WEBSITE: http://www.cvc.uab.es/lamp/

DESCRIPTION OF JOB:
We are seeking a PhD to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The position is for 4 years. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on continual learning, domain adaptation, generative models, self-supervised learning, etc. The position is on an industrially sponsored project with 2 postdocs and four PhD students.
PROJECT SUPERVISOR & HOSTING GROUP
Joost van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC.

CANDIDATE ’S PROFILE
The candidate should hold a Masters degree or equivalent. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. Prior knowledge of deep learning (Tensor Flow, Pytorch) is required.

FUNDING CONDITIONS
Living allowance of 19k€/year (gross salary).

CONTACT AND CONTACT EMAIL:
Interested applicants should email their CV (preferably with contact information of 2 references) and transcript of university course grades to Dr. Joost van de Weijer (joost@cvc.uab.es). Also for any other inquiries please contact Joost van de Weijer.

DATES:
Applicants should submit their application before July 11th. The decision will be communicated by the end of July. Positions should start in the new academic year (Sept, Oct) 2020.

THE COMPUTER VISION CENTER
The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.

More info | Contact: Joost van de Weijer | Posted on: 2020-06-24

Research Associate in Machine Learning

The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is seeking candidates for a research associate position to join a machine learning project integrating deep learning and CRISPR genome editing. Applicants are expected to have at least a master’s degree in a relevant field and a publication record in deep learning and/or bioinformatics. Background in bioinformatics is preferred but not required. This position is available immediately and offered for one-year term, subject to renewal based on performance and available funds

More info | Contact: Hasan AlMarzouqi | Posted on: 2020-06-24

PhD and MPhil Positions at The Kong Kong Polytechnic University with Full Scholarship

Applications are invited for two research positions with full scholarship in the Department of Computing, The Hong Kong Polytechnic University, starting as early from September 2020. These research positions (MPhil) are currently available in the area of deep learning for computer vision related problems.

The applicants for PhD positions should have Master's degree in Computer Science or related areas (or completing Master's degree by August 2020) and excellent academic record. The applicants for MPhil positions should have outstanding academic record with Bachelors degree in Computer Science or related area (or completing Bachelors degree by August 2020). The applicants should have excellent programming skills and candidates with experience in computer vision, pattern recognition or biometrics related work may expect preference.

Successful candidate's are expected to work with Prof. Ajay Kumar (http://www.comp.polyu.edu.hk/~csajaykr) in The Hong Kong Polytechnic University from September 2020. The scholarships offered are highly attractive and competitive (~18,200 HK$ or over 2000 US$ per month).

Please send your detailed CV (including aggregate marks, courses undertaken, project undertaken) to Prof. Ajay Kumar, via email at ajay.kumar@polyu.edu.hk. The applicants who do not receive any response within one week of their application should consider their application as unsuccessful.

More info | Contact: Ajay Kumar | Posted on: 2020-06-21

Autonomy Intern

Company Description
At Aerovect, we leverage advanced automation to transform logistics and cargo handling at some of the busiest airports and logistics centers in the world. With a focus on bringing self-driving technologies to complex industrial environments, AeroVect is shaping the future of industrial automation, backed by top-tier investors.

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!

Job Description
We’re looking for Engineering interns who are eager to bring autonomous driving systems to life from the ground up. Minimum Internship duration is 2 months, with flexible start and end dates.

In this role, you will help grow our ADS software stack in a fast-paced, early-stage startup environment. You will own and lead the design, simulation, and real-world implementation of a specific autonomy module as part of creating a category-defining ground vehicle system aimed at automating cargo movement at airports and logistics hubs.

Specifically, we are looking for individuals who have deep functional expertise in one or more of the following areas:

-Perception and Sensor Fusion
-Localization and Mapping
-Vehicle Control, Planning, and Decision Making

Your job scope will involve selecting and working with both cutting-edge techniques as well as proven, off-the-shelf technologies to support your specific ADS module, and working with other members of the engineering team to integrate into the overal system architecture… all while creating unprecedented value and functionality for the modern supply chain.

The opportunity offers a technical, hands-on team leader the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model.

This role will work closely with our co-founders and the Autonomy Lead.

What You’ll Do

-Define, lead, and own the hands-on creation of your ADS subsystem module, targeting milestones and working with internal/external partners — expect to spend ~75% of your time performing hands-on development, with the remaining 25% integrating with the overall software stack, working with a team of world-class engineers to target aggressive milestones.

-Design, implement, test, and support ADS module functionality through simulations and real-world test runs in context of the airside airport environment, including vehicle corridors and airport apron.

-Work with the engineering team at large to support all aspects of ground vehicle autonomy, including planning, perception, navigation, and infrastructure subsystems

-Collaborate with hardware engineering to create an integrated system, including calibration and integration

-Understand and keep up-to-date with state of the art

Qualifications

Minimum Qualifications

-Strong CS fundamentals (via academic or industry experience)

-Background in developing the autonomy (sensing & decision-making) functions of a deployed, autonomous vehicle

-High-performing engineering experience

-2+ years experience working on software engineering teams

-Comfort with shipping safety-critical software

-Experience shipping a working robotics or vehicle autonomy subsystem

-Candidates with unconventional experiences especially encouraged

-Willingness to get hands-on and have lots of fun

Ideal Qualifications

-Advanced research experience in vehicle autonomy or machine learning

-Background in safety-critical software/system development (preferably a ground robotics functional safety standard such as ISO 26262 or IEC 61508)

-Prior experience developing and supporting all aspects of autonomy for a production ground-vehicle subsystem, or research prototype (end-to-end, full lifecycle development preferred)

-Startup experience

-Experience with ROS, OpenCV

-Experience with Carla, CarSim, or comparable technologies

Additional Information
AeroVect is a technology company that applies the latest advances in autonomous driving systems to create today the airports and logistics centers of the future. We work with airports around the world to bring self-driving tow tractors to life.

Our experienced team of engineers and aerospace industry specialists from Harvard and MIT have collectively spent decades developing cutting-edge autonomy and aerospace technologies. Founded on the principles of safety, efficiency, and reliability, our mission is to create the airport of the future today, making logistics work for millions of people while having lots of fun on the way. Read more on our website at www.aerovect.com .

More info | Contact: AeroVect Team | Posted on: 2020-06-21

Autonomy Lead

At Aerovect, we leverage advanced automation to transform logistics and cargo handling at some of the busiest airports and logistics centers in the world. With a focus on bringing self-driving technologies to complex industrial environments, AeroVect is shaping the future of industrial automation, backed by top-tier investors. If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!

We’re looking for an Engineering Leader who knows how to bring autonomous driving systems to life from the ground up. In this role, you'll lead, manage and grow a software team in a fast-paced, early-stage startup environment. In this role, you'll be the engineering lead for a category-defining ground vehicle system aimed at automating cargo movement at airports and logistics hubs.

Your team and job scope will include all aspects of planning, perception, navigation, and infrastructure, and incorporate both cutting-edge techniques as well as proven, off-the-shelf technologies to support all autonomous trucking functions…and create unprecedented value and functionality for the modern supply chain.

The opportunity offers a technical, hands-on team leader the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model.

This role reports directly to our co-founders.

What You’ll Do

-Define, lead, and own the hands-on creation of an ADS stack for the airport, targeting milestones, growing the team, and working with internal/external partners — expect to spend 60-70% of your time performing hands-on development, with the remaining 30-40% managing schedule, removing obstacles, designing/coaching the team to hit aggressive milestones, and building a team of world-class engineers.

-Lead a team of engineers bringing up all components necessary for autonomous driving in the airside airport environment, including vehicle corridors and airport apron.

-Design, implement, test, and support all aspects of ground vehicle autonomy, including planning, perception, navigation, and infrastructure subsystems

-Qualify all subsystems using objective measures

-Collaborate with hardware engineering to create an integrated system, including sensor/compute selection and integration

-Understand and keep up-to-date with state of the art

Qualifications
Minimum Qualifications

-Strong CS fundamentals (via academic or industry experience)

-Background in developing the autonomy (sensing & decision-making) functions of a deployed, autonomous vehicle

-High-performing engineering experience

-2+ years experience leading software engineering teams

-Industrial automation experience shipping safety-critical software

-Experience shipping a working robotics or vehicle autonomy system

-Candidates with unconventional experiences especially encouraged

-Willingness to get hands-on and have lots of fun

Ideal Qualifications

-PhD / advanced research experience in vehicle autonomy or machine learning

-Background in safety-critical software/system development (preferably a ground robotics functional safety standard such as ISO 26262 or IEC 61508)

-Prior experience developing and supporting all aspects of autonomy for a production ground-vehicle system, or research prototype (end-to-end, full lifecycle development preferred)

-Startup experience

-Experience with ROS, OpenCV

Additional Information
AeroVect is a technology company that applies the latest advances in autonomous driving systems to create today the airports and logistics centers of the future. We work with airports around the world to bring self-driving tow tractors to life.

Our experienced team of engineers and aerospace industry specialists from Harvard and MIT have collectively spent decades developing cutting-edge autonomy and aerospace technologies. Founded on the principles of safety, efficiency, and reliability, our mission is to create the airport of the future today, making logistics work for millions of people while having lots of fun on the way. Read more on our website at www.aerovect.com .

More info | Contact: AeroVect Team | Posted on: 2020-06-21

Post-Doctoral Research Associate in Deep Learning for Surface-to-Volume Alignment of Multi-Modality MRI

The Department of Biomedical Engineering, King's College London, seeks a Research Associate to work with Dr Emma C. Robinson on the development of novel Machine Learning and Image Processing for precision registration of multimodality brain scans.

This 3-year post is funded by a Wellcome Trust Collaborative Award (between KCL, Oxford University and the Donder's Institute Nijmegen) targeting clinical translation of automated tools for multimodal Magnetic Resonance Image (MRI) analysis.

The post is available to be filled as soon as possible, with responsibilities for:

- Exploring discrete optimisation and (deep) learning-based solutions to surface and volume image registration.
- Integrating multimodal imaging sources, including structural, functional and diffusion MRI in order to enhance correspondence across modalities.
- Exploring new techniques for precision modelling of cortical organisation to population modelling of the data.

Applicants will be expected to hold a PhD (or be close to completion) in a relevant numerate/computational domain. A track record in medical image processing and/or machine learning, with strong proficiency in Python, or C/C++ is highly desirable.

This post will be offered on a fixed-term contract for 3 years, or until 31 December 2024

More info | Contact: Emma Claire Robinson | Posted on: 2020-06-21

3D/AR/CV Algorithm Expert

SUMMARY:
Xiaomi’s Technology Planning & Partnerships team is responsible for discovering key strategic technology opportunities for Xiaomi's Smartphone department. More specifically, the team is focused on researching & identifying new camera and computer vision (CV) technologies in order to both differentiate Xiaomi's camera system and to strengthen Xiaomi's brand as a camera innovator. As a key contributor, you will provide expert insight based on your skills and background in 3D/AR/CV technology and produce key technical materials (roadmaps, analysis, prototypes, demos) to support your opinions and direction. In your new role you will be responsible for evaluating and benchmarking new technologies as well as ensuring the final camera feature meets the requirements of a world-class product. Your contributions will be realized through your cooperation with third-party vendors, startups, and researchers and will be highly visible within the company. If you're successful, the results of your cooperation will be launched on Xiaomi's flagship smartphones and experienced by Xiaomi's users at a global scale.

KEY QUALIFICATIONS:
1. 5+ years of relevant mobile computer vision algorithm experience in R&D or Product teams
2. Strong understanding of mobile camera technology including depth sensors
3. Strong understanding of state-of-the-art 3D/AR technology
4. Awareness of global AR/3D/CV ecosystem including suppliers, startups, and conferences
5. Proficiency with relevant software tools and libraries:
a. ARCore, ARKit, OpenCV, Open3D, Matlab, Unity, Python, Android, etc
6. Experience working cross-functionally and building consensus with key stakeholders
7. Strong ability to handle ambiguity and changing requirements

JOB DESCRIPTION:
In this role your core responsibilities will be:
1. Research and identify state-of-the-art 3D/AR/CV algorithms and suppliers
2. Build and maintain relationships with incubators, start-ups and vendors
3. Perform technical evaluations on new algorithms and camera technologies
4. Build a technology roadmap based on expert analysis and present to leaders and executives
5. Define technical specifications, milestones, requirements, key metrics, and create convincing prototypes and concepts
6. Rapidly iterate on design ideas to define short-term and long-term opportunities
7. Domestic & International Travel to technology conferences, R&D sites & Partner locations…etc

RELEVANT SKILLS AND EXPERIENCE:
1. SLAM, 3D reconstruction, depthmap processing, RGBD data processing, semantic segmentation, spatial computing, motion capture, real-time image processing, object recognition, object classification, object tracking, camera calibration, AR, VR, MR, XR

EDUCATION:
BS/MS/PhD in computer science, electrical engineering or similar discipline.

More info | Contact: Matt Leone | Posted on: 2020-06-21

AI Specialist

Join AI team in Samsung R&D Institute Brazil and contribute to generate innovative technology for (a) equipping Samsung devices and (b) enabling innovative new services.

Roles and Responsibilities
* Participate on Artificial Intelligence R&D projects, which have the purpose of producing innovative technology for equipping Samsung devices and enabling innovative new services
* Contribute to AI R&D strategy formulation
* Interact continuously with Samsung Headquarters and Samsung Overseas R&D Centers for understanding and aligning AI strategies, and corresponding technology roadmaps and requirements; discussing and negotiating new AI projects; reporting AI project progress; refining/adjusting directions whenever required;
* Contribute to collaboration with top-tier Brazilian R&D groups (open innovation)

Main Requirements:
* Solid Computer Science and/or Electrical Engineering formal education
* Solid knowledge and skills in Machine Learning techniques and fundamentals
* Expertise in Signal Processing, Pattern Recognition, Computer Vision, and Reasoning
* Expertise in classifier and regressor design
* Solid skills in probability, statistics, experiment design and evaluation
* Python, C/C++, R and Java programming skills
* Unix toolset skills
* Proven 5+ years of experience applying Machine Learning/Deep Learning to a meaningful set of R&D projects

Education Degree
* Ph.D in Computer Science or Electrical Engineering obtained from a top-tier university
* M.Sc in Computer Science or Electrical Engineering obtained from a top-tier university with solid professional experience are also welcomed to apply.

Language Requirements
* Written and verbal fluency in Portuguese and English

Skills and Qualifications
* Practical experience in machine learning optimization aiming at reducing complexity of deep neural networks
* Practical experience in executing/deploying machine learning models on mobile devices
* Practical experience in applying machine learning or designing machine learning solutions for sensor data
* Practical experience in applying machine learning or designing machine learning solutions for computer vision problems
* Experience with machine learning approaches that can be updated with user data after deployment (e.g., online learning, reinforcement learning, etc.)
* Software engineering skills, including methodologies, best practices and related tools
* Experience applying machine learning to real-world problems, i.e., dealing with very large amounts of data

Please, apply via LinkedIn:
https://www.linkedin.com/jobs/view/1887418102/

More info | Contact: Otávio Penatti | Posted on: 2020-06-21

Applied Research Scientist Intern, Computer Vision (Summer 2021)

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.

More info | Contact: Alex Dunton | Posted on: 2020-06-21

professor

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

More info | Contact: philip torr | Posted on: 2020-06-21

Sr. Machine Learning Research Engineer (Deep Learning, Vision)

**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.

More info | Contact: Josh Butler | Posted on: 2020-06-21

Principal Applied Scientist

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.

More info | Contact: Tamara Ludwig | Posted on: 2020-06-21

Computer Scientist - Scene Understanding and Navigation

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

More info | Contact: Han-Pang Chiu | Posted on: 2020-06-21

Internship in the field of Deep Learning for Autonomous Driving

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).

More info | Contact: Dr-Ing Arun Annaiyan | Posted on: 2020-06-21

Senior Machine Learning Scientist

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

More info | Contact: Ross Cutler | Posted on: 2020-06-21

Senior Software Development Engineer

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

More info | Contact: Ross Cutler | Posted on: 2020-06-21

Sr. Machine Learning Engineer

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

More info | Contact: Ross Cutler | Posted on: 2020-06-21

Full Stack Engineer

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

More info | Contact: Eric Wengrowski | Posted on: 2020-06-21

Postdoc: Discrete Optimization for Machine Learning

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

More info | Contact: Bjoern Andres | Posted on: 2020-06-21

Postdoctoral Researcher

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.

More info | Contact: Dr. Daniel Morris | Posted on: 2020-06-21

Post-doctoral Researcher

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.

More info | Contact: Myron Brown | Posted on: 2020-06-21

Postdoctoral Research Assistant in Computer Vision

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.

More info | Contact: Professor Philip Torr | Posted on: 2020-06-21