Job Board

Senior/Lead Research Scientist – AI, Computer Vision, Machine Learning

BlueHalo (Rockville, Maryland) has an open full-time position for a Research Scientist or a Senior/Lead Research Scientist (based on education & experience) in AI, computer vision, machine learning, data science and geospatial analytics. We are looking for an outstanding self-motivated researcher. You will be working with a highly multi-disciplinary team of scientists and engineers to conduct R&D in the fields of video analytics, machine learning, remote sensing, robotics perception and AI. 

We have active research and development projects where we design, integrate, test, and deploy state-of-the-art systems for a range of applications, including image and video analytics, artificial intelligence, geospatial analytics, perception for autonomous systems, healthcare, training, and simulation. 

The desired candidate should have extensive experience in computer vision particularly in these areas: deep learning, object detection, tracking, classification, remote sensing, segmentation, data fusion, self-supervised learning, and robotic vision.

A solid background in programming is very important in this role. 

CITIZENSHIP / VISA STATUS: Applicant must be a US Citizen

JOB DUTIES  

Conduct research and development in the area of AI, computer vision, machine learning and data science 
Design and develop innovative computer vision and machine learning algorithms
Interact with multiple research groups and collaborate with universities on research 
Support project management, explore new opportunities, and lead technology development in new areas 

REQUIRED EXPERIENCE & EDUCATION  

Bachelor, Masters or Doctorate degree in computer science, electrical engineering, computer engineering, mathematics, or another related field 

DESIRED SKILLS 

Proficiency in Python, C++, or MATLAB 
Creativity and problem-solving skills 
Minimum 3 years of experience with computer vision or machine learning techniques 
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow. 

 
US Citizenship required

Research Scientist – Computer Vision, 3D Reconstruction, Graphics, Rendering

BlueHalo (Rockville, Maryland) has an open full-time position for a Research Scientist or a Senior Research Scientist (based on education & experience) in computer vision, 3D reconstruction, graphics, and 3D rendering. We are looking for an outstanding self-motivated researcher. You will be working with a highly multi-disciplinary team of scientists and engineers to conduct R&D in the fields of computer vision, large-scale 3D scene reconstruction, and high-fidelity rendering.

We have active research and development projects where we design, integrate, test, and deploy state-of-the-art systems for a range of applications, including image and video analytics, artificial intelligence, perception for autonomous systems, healthcare, training, and simulation.

The desired candidate should have extensive experience in computer vision particularly in the areas of camera calibration, 3D reconstruction, SLAM, in-painting/out-painting, computer graphics, neural rendering (NeRF), generative model and synthetic image generation. A solid background in programming is important.

CITIZENSHIP / VISA STATUS
• Applicant must be a US Citizen or US Permanent Resident (Green Card Holder)

JOB DUTIES
• Conduct research and development in the area of AI, computer vision, 3D reconstruction and rendering
• Interact with multiple research groups and collaborate with universities on research

DESIRED SKILLS
• Proficiency in Python, C++, or MATLAB
• Creativity and problem-solving skills
• Experience in software architecture and code optimization for efficient SLAM and 3D graphics
• Minimum 2 years of experience with geometric computer vision and 3D reconstruction techniques

REQUIRED EXPERIENCE & EDUCATION
• Bachelor, Masters or Doctorate degree in computer science, electrical engineering, computer engineering, mathematics, or another related field

We conduct research on state-of-the-art deep generative models that are used to enable real-world Bosch systems to be data-efficient and safe. We are looking for a research scientist to support us both in academic research activities and in transferring those results to real-world systems.

The goal of this position is to work on problems such as developing new learning algorithms for generating better training datasets, making algorithms robust, reliable, and safe when learning even from limited/biased datasets, understanding where the models fail, and investigating algorithms for online adaptation in a self-supervised manner. This includes work on (but not limited to):

- Use of generative models for data augmentation and validation: generation of synthetic data using both computer graphics and image-synthesis with generative models (i.e., GANs, diffusion models), as well as techniques for domain transfer.
- Adversarial learning for data augmentation, robust training, and imbalance learning.
- Continual learning.

We conduct research on state-of-the-art deep generative models that are used to enable real-world Bosch systems to be data-efficient. We are looking for a research engineer to support us both in academic research activities and in transferring those results to real-world systems.

The goal of this position is to develop new learning algorithms for generating better training datasets, making algorithms robust, reliable, and safe when learning even from limited/biased datasets. In particular, the focus is on the use of generative models for data augmentation: generation of synthetic data using both computer graphics and image-synthesis with generative models (i.e., GANs, diffusion models, neural rendering), as well as techniques for domain transfer.

The Clinical Informatics in Intensive Care Laboratory at Mayo Clinic in Rochester, MN is looking for a motivated post-doctoral fellow. This opportunity to perform Computer Vision projects applying to real hospital scenarios.
We are looking for someone who has background and experience in machine learning / deep learning algorithms applied to Computer vision applications such as automatic face recognition, and interpretation of the expression. Have experience using computer vision frameworks (YOLO, TensowFlow, OpenCV, etc). Use link to apply or check for more info.

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, 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 deep learning technologies, with large-scale applications. 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 applications is required.
• Experience in at least one of the following areas: Metric Learning, Representation Learning, Neural Embeddings, Deep Reinforcement Learning, Lifelong Learning, Target Detection and Classification.
• Experience with real-time systems is considered a plus.
• Experience with remote sensing such as RADAR or hyperspectral imaging 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.
Technical Director
Scene Understanding and Navigation
Center for Vision Technologies
SRI International
Princeton, NJ, USA

The Computer Vision Laboratory at Toronto Metropolitan University is looking for a Postdoctoral Fellow in the broad areas of computer vision and machine learning/deep learning. The ideal candidate should have a Ph.D. in a related area with demonstrated ability to conduct high-quality research in computer vision and machine learning and have a track record of publications in top venues. The position is for two years with a possibility for renewal. Please refer to the website for details: https://www.cs.ryerson.ca/~wangcs/jobs.html

Applications are invited for post-doctoral researchers and Ph.D. students in deep learning applied to affective computing (eHealth), video recognition, and medical image processing. Candidates will work at the Laboratory of imaging, vision, and artificial intelligence (LIVIA), ETS Montreal. These funded positions are available immediately and offer a competitive salary. It also offers a possibility for collaborations-internships with top research companies and institutions in Montreal and abroad.

We are looking for highly motivated candidates who are interested in performing cutting-edge research on machine learning algorithms, with a particular focus on deep learning models (e.g, auto-encoders, convolutional and recurrent neural networks) for domain adaptation, information fusion, and weakly-supervised learning. Prospective applicants should have the following profile:
- strong academic record with an outstanding M.Sc./Ph.D. in computer science, applied mathematics, or electrical engineering, preferably with expertise in one or more of the following areas: machine learning, computer vision, pattern recognition, artificial intelligence;
- good mathematical background;
- very good knowledge of English
- good programming skills in languages such as Python, with knowledge of deep learning frameworks;
- strong publication record in major conferences or journals in computer vision and machine learning.

Application process: For consideration, please send your CV, research statement, names and contact details of two references, transcripts, a link to your Ph.D. thesis, as well as relevant publications to Eric Granger: eric.granger@etsmtl.ca

Eric Granger, ing., Ph.D.
Professor and Director of the LIVIA
Department of Systems Engineering
ETS Montreal, Université du Québec
1-514-396-8650
eric.granger@etsmtl.ca

The postdoc candidate is expected to work on 3D perception problems for challenging indoor/outdoor environments with data-efficient deep learning approaches, and develop research-level codes on multi-modality embedded systems. The position has opportunities to deliver real-world impact on sports analysis, autonomous machines, and smart homes.

Minimal Requirement:
1. Ph.D. degree in Computer Science (CS), Electrical Engineering (EE), or Electrical and Computer Engineering (ECE)
2, One first-author paper in one of the following recent (2019-Present) conferences: CVPR, ICCV, ECCV, NeuIPS, AAAI or ICRA

Preferred Experience:
1. Deep learning solutions (Pytorch and OpenCV) on monocular 3D perception tasks for bounding boxes, body meshes, depth, and point clouds.
2. Distillation/compression algorithms for real-time inference on multi-modality embedded platforms, such as Nvidia Xavier, Xilinx FPGA, or Raspberry Pi.

Official Application URL: https://cmu.wd5.myworkdayjobs.com/CMU/job/Pittsburgh-PA/Postdoctoral-Fe…

Interested applicants are also welcomed to contact the supervisor by email (Dong Huang, donghuang@cmu.edu) with email subject “Postdoc 2022 at DeLight_YOURNAME”.

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA.

We have immediate openings for Computer Vision Research Interns with the following qualification requirements:

-Ph.D./M.S student in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields;
-Self-motivated and demonstrated problem solving and critical thinking skills;
-Familiar with at least one mainstream deep learning toolkit, e.g., Pytorch, Tensorflow;
-Familiar with Python, C++ and OpenCV;
-Proven track record of publications in the top computer vision and machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, TPAMI, and IJCV is a plus;
-Experience with 6D pose estimation or 3D visual perception is a plus;
-Excellent communication skills and team-work spirit.

Main Responsibilities

-Conduct top-tier research in the area of Computer Vision in a collaborative team-working environment;
-Working closely with full-time employees to come up with, implement, and verify research ideas;
-Fast prototyping, and developing cutting edge AI assets for the company;
-Contribute to intellectual properties, strong publications and transferring technologies into practical product solutions;
-Be ambitious to change future Healthcare with innovations.

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA.

We have an immediate opening for Sr. Research Scientist in the field of computer vision and robotics with the following qualification requirements:

Qualification & Requirements:

-PhD Degree in Computer Science, Electrical Engineering, Systems Engineering, or related field;
-5+ years of experience in research and development in 2D/3D Computer Vision or Robotics;
-Strong knowledge in state-of-the-art computer vision, machine learning and robotics technologies;
-Strong programming skills with at least one programming language such as C++ and Python.
-Proven experience in conducting cutting edge research with successful outcome;
-Proven track record of publications in top-tier conferences and journals in Computer Vision, Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, etc.);
-Ability to develop practical solutions to challenging problems;
-Strong writing, communication, and cross discipline collaboration skills;
-Extensive experience and knowledge in Deep Learning and AI-related technologies;
-Familiarity with deep learning frameworks such as Tensorflow and Pytorch;
-Experience with OpenCV, ROS, PCL or VTK is a plus;
-Experience with RGBD sensors is a plus;
-Experience with embedded systems and edge-based AI systems is a plus;

Main Responsibilities:

-Research and develop computer vision and robotics algorithms;
-Extend and improve company's existing algorithms and libraries;
-Work closely with colleagues and management to develop company assets in computer vision and robotics;
-Conduct cutting-edge research and transfer research results into practical product solutions;
-Establish strong relationship with potential customers and clinical partners;
-Collaborate with other team members and contribute to a nice team-working environment;
-Be ambitious to lead the changes in future Healthcare with innovations.

We are seeking two Postdoctoral Research Assistants in Machine Learning to join Professor Torr’s research group at the Department of Engineering Science (central Oxford). 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 https://torrvision.com/. The posts are fixed-term for 2 year in the first instance with funding provided by the EPSRC.

You will be responsible for the development and implementation of novel computer vision and learning algorithms for reliable, robust, and efficient deep neural networks.

You should hold a PhD or DPhil (or be near completion of) in Computer Vision or Machine Learning. You should also have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

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

The University offers a comprehensive range of childcare services and has very generous maternity, adoption, paternity, shared parental leave schemes in operation. Requests for flexible working are always taken into consideration. We offer an enhanced entitlement to 38 days’ annual leave per year (pro-rata for part-time staff), inclusive of bank holidays and fixed closure days. Additional long service leave is available after 5 years’ service. An additional scheme enables staff to request to purchase up to ten additional days’ annual leave in each holiday year. Other staff benefits can be found here https://hr.admin.ox.ac.uk/staff-benefits

Only applications received before midday on the 16th February 2022 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.

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form…

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. 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).

Requirements

• You’re fluent in Python and may have experience in C++, PyTorch, Tensorflow, OpenCV, MATLAB

• You have experience and/or education (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

Bonus Skills

• Experience with GCP, 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 competitive rewards package: salary. private health insurance, pension and equity incentive scheme.

• Aistetic has a flexible Workplace Policy: all employees are currently working from home. This will be reviewed and maintained in accordance with government and public health guidance to reduce the risk to our people’s health.

Aistetic is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.

Please email careers@aistetic.com with your cv telling us why you would like to join us.

(Please ignore the previous post which has wrong title.)

SRI International creates world-changing solutions to make people safer, healthier, and more productive. SRI brings its innovations to the marketplace through technology licensing, new product solutions, and spin-off ventures in a wide range of fields, including Siri and Redwood Robotics. We provide a unique opportunity for student associates to contribute both to basic cutting-edge research and real-time, real-world technology applications.

SRI's Center for Vision Technologies (CVT) at NJ, USA is a leader in computer vision solutions for defense, security, and the training marketplace. We are currently looking for research and engineering interns to work on projects in creating and incorporating machine learning technologies to visual scene understanding across domains.

The starting date for this 2022 summer internship position can be adjusted to accommodate school schedules. Due to the COVID-19 influence, the intern may need to work remotely. Candidates with the following background are encouraged to apply:

* As of summer 2022, pursuing a PhD or Master degree in USA in Computer Science, Electrical Engineering or related field
* Strong background in computer vision and machine learning
* Experience in one of: domain adaptation, transfer learning, object detection, semantic segmentation, semi-supervised learning, model pruning, or neural network optimization on resource-constrained devices, is considered a plus

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

SRI International creates world-changing solutions to make people safer, healthier, and more productive. SRI brings its innovations to the marketplace through technology licensing, new product solutions, and spin-off ventures in a wide range of fields, including Siri and Redwood Robotics. We provide a unique opportunity for student associates to contribute both to basic cutting-edge research and real-time, real-world technology applications.

SRI's Center for Vision Technologies (CVT) at NJ, USA is a leader in computer vision solutions for defense, security, and the training marketplace. We are currently looking for research and engineering interns to work on projects in creating and incorporating machine learning technologies to visual scene understanding across domains.

The starting date for this 2022 summer internship position can be adjusted to accommodate school schedules. Due to the COVID-19 influence, the intern may need to work remotely. Candidates with the following background are encouraged to apply:

* As of summer 2022, pursuing a PhD or Master degree in USA in Computer Science, Electrical Engineering or related field
* Strong background in computer vision and machine learning
* Experience in one of: domain adaptation, transfer learning, object detection, semantic segmentation, semi-supervised learning, model pruning, or neural network optimization on resource-constrained devices, is considered a plus

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