Job Board

Responsibilities:
KLA is seeking a motivated individual for a senior/lead algorithm engineer position in the AI & Modeling Center of Excellence working with the RAPID division. In this position, you will bring your strong academic background and proven industry experience to develop and integrate algorithms into KLA’s innovative inspection platforms. You will provide technical domain expertise, mentorship, and hands-on leadership in a highly collaborative team to deliver production-grade algorithms involving Artificial Intelligence and Machine Learning, Image Processing, and Optical Modeling.

In this role, you will:
Lead a team in delivering novel modeling, defect detection, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis
Drive adoption of machine learning that complements and improves the performance of existing algorithms in optical and/or electron-beam modeling and in the defect detection space
Collaborate with software and computer groups to design and implement data management, model training and inference flows
Bring forward creative ideas, develop production code, and support and mentor team members
Interact with other specialists and leadership in Ann Arbor and Milpitas project teams

Qualifications:
Ph.D. in Applied Math, EE, Computer Science or related field
Significant work experience is required in any two of the following: Image Processing, Deep Learning, or Optical Modeling (experience in all three is a plus)
Strong oral and written communications skills
2+ years of experience in an industry environment developing production-scale algorithms and implementing them in C++ software under Linux is preferred
Proven leadership or mentorship within a team of engineers delivering projects with a multiple-person-year scope is preferred
Experience prototyping Algorithms using MATLAB or Python is preferred
Familiarity with any of the following is a plus: GPU Programming frameworks, Linear and Nonlinear Optimization techniques, and Data Analysis and Visualization tools

Minimum Qualifications
PhD with 3 years of work experience
Master's Level Degree with 6+ years of work experience
Bachelor's Level Degree with 8+ years of work experience

Responsibilities:
KLA is seeking a motivated, experienced engineer to join our world-class AI and Modeling Center of Excellence in Ann Arbor, Michigan, USA. This individual will utilize his or her skills in Machine Learning and Artificial Intelligence to develop modeling algorithms to be integrated into KLA’s state of the art inspection platforms.

In this role, you will:
Design, development and implementation of cutting-edge computer vision and image processing algorithms
Rapid prototyping and validation of new machine learning, deep learning and image processing algorithms
Develop end-to-end solutions that are holistic taking into account the system, imaging pipeline, the user experience and the end application requirement
Work in a highly multi-functional organization to drive systems integration of algorithms.
Write robust production quality code.
Bring forward and drive creative ideas, develop production code, and provide support as needed.
Own prototype to production of algorithms

Qualifications:
Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics
2-7 years of work experience required in any of the following: Image Processing, Computational Imaging, Computer Vision, Machine Learning, or Deep Learning
Prior experience with algorithm development in C/C++, Python and object-oriented design in a Linux environment, is a plus
Algorithm prototyping using MATLAB or Python, is preferred
Prior experience with common deep learning frameworks like TensorFlow, Caffe, MatConvnet etc.
Capability to formulate problems into mathematical equations.
Great teammate with excellent written and verbal communication skills.
Ability and willingness to travel worldwide to support demos and projects at customer sites.

What will differentiate you:
Strong understanding of vision related deep learning work like Generative models, semantic segmentation, auto encoders 
Hands on experience solving computer vision challenges
Strong fundamentals in low level image processing algorithms
Appreciation of complex image acquisition systems 

Minimum Qualifications
PhD
Master's Level Degree with 3 years of work experience

We have an open, fully-funded, 41 months Postdoctoral position in deep learning-based image quality assessment at Norwegian Colour and Visual Computing Laboratory (Colourlab) at the Norwegian university of Science and Technology (NTNU).

The position will focus on developing deep learning based image quality metrics. The Postdoctoral position is part of the research project “Quality and Content: understanding the influence of content on subjective and objective image quality assessment”, funded by the Research Council of Norway. The project aims to advance the understanding of image quality and develop more precise and better performing image quality metrics based on improved understanding on how content influences image quality. The Postdoctoral position will focus on developing more precise and better performing image quality metrics using deep-learning and understanding on how content influences image quality. The post doctoral researcher will work in collaboration with other project members and partners.

We are looking for a candidate with good experience and competence in deep learning.

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 553 500 (~57500 euro) per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund. The period of employment is 41 months, and place of work is Gjøvik, Norway.

Deadline: 1st of May 2022

More information and the process for applying is found at https://www.jobbnorge.no/en/available-jobs/job/224149/postdoctoral-fell…

RoboK is a fast-growing computer vision startup working on some of the most exciting and challenging vision-based AI problems. We are looking for motivated individuals to join our expanding research and engineering team.

We will trust you to:
- Design, develop and optimise software for complex problems in the areas of machine learning, robotics and autonomous systems
- Contribute to software architecture, integration, testing and documentation
- Engage in team collaboration with other researchers and engineers
- Have great communication skills and be happy to help the rest of the team when needed

You will need to have:
- A degree in Computer Science, Engineering, Mathematics or equivalent experience
- Strong understanding of different aspects of software engineering and programming experience in industry
- Strong robotics and machine learning fundamentals
- Experience with machine learning and robotics software development

We’d love to see:
- Experience with computer vision and visual perception systems
- Experience in testing and shipping machine learning software on edge devices
- Experience in automotive or robotics industry

What we can offer:
- Competitive salary and equity
- Pension scheme, private medical care
- Relocation support with visa sponsorship
- Flexible working hours - at times that suit you and your team
- Hybrid working models - either work remotely within UK or on-site (Cambridge or London)
- Opportunity to shape and deliver world changing solutions to top-tier customers in the most interesting industries for deep learning and computer vision

RoboK (www.robok.ai) is a fast-growing computer vision startup working on some of the most exciting and challenging vision-based AI problems. We are looking for motivated individuals to join our expanding research and engineering team.

We will trust you to:
- Design, implement and evaluate computer vision models and prototypes for challenging applications in the field of robotics and autonomous systems
- Report research findings and developments clearly and efficiently
- Engage in team collaboration with other researchers and engineers
- Have great communication skills and be happy to help the rest of the team when needed

You will need to have:
- A PhD in computer vision, machine learning, imaging sciences or related areas
- Strong knowledge of deep learning theory and practical experience with deep learning frameworks such as Pytorch/Tensorflow in computer vision
- Strong analytical and problem solving skills with the ability to transfer academic papers and ideas into functional prototypes
- Ability to write and maintain high quality code on your own and in team using version control software like git

We’d love to see:
- Experience in virtual environment and simulation
- Experience in domain adaptation and transfer learning
- Experience in robotics or automotive industry

What we can offer:
- Competitive salary and equity
- Pension scheme, private medical care
- Relocation support with visa sponsorship
- Flexible working hours - at times that suit you and your team
- Hybrid working models - either work remotely within UK or on-site (Cambridge and London)
- Opportunity to shape and deliver world changing solutions to top-tier customers in the most interesting industries for computer vision

As Staff Computer Vision Engineer, you will work on technology for real-time perception and 3D render engine for Dolby.io platform and have the opportunity to solve engineering problems utilizing advanced computer vision and machine learning.

Responsibilities:
- Develop and implement real-time algorithms for face, hand, and gaze tracking.
- Design and develop algorithms to create 3D real-time representations of the user.
- Train, optimize, and deploy deep neural networks on various platforms including web, desktop, and mobile.

Qualifications:
- Master's in electrical engineering, computer science or related field.
- 3+ years experience in training and deploying deep neural network models.
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, etc.
- Strong programming skills in Python and C++.
- Experience in 3D modeling, and reconstruction.
- Knowledge of deep learning techniques for geometry deformation or neural rendering.

The Division of Computational Science and Technology at KTH Royal Institute of Technology in Stockholm, Sweden is seeking a Postdoc in Computer Vision / Machine Learning / Applied Mathematics to handle scale-dependent image information in deep networks.

In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks and the experimental evaluation of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets. For examples of our previous work in this area, see https://www.kth.se/profile/tony/page/deep-networks

Within the scope of this postdoc position, you are expected to work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterized in terms of Gaussian derivatives, on specific research topics that we choose together.

The selected candidate will work closely together with the project leader Tony Lindeberg.

For further information and information about to how to apply, see https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:490734/

Application deadline: May 2, 2022

The position is offered for a period of two years.

The Natural Science Division of Pepperdine University’s Seaver College of Letters, Arts, and Sciences, located in Malibu, California invites applications for a Visiting Assistant Professor - Keck Scholar in Residence - position for the 2022-2023 academic year beginning August 1, 2022. Applicants should have a Ph.D. (or will receive a Ph.D. by July 2022) in computer science or other related computing discipline. We seek outstanding candidates with core expertise in machine learning to join a vibrant cross-disciplinary scientific community of faculty at Seaver College. Well-qualified candidates will be able to contribute to the excellence and vibrancy of the Pepperdine experience through their teaching and research to both Pepperdine and our surrounding community. The newly created data science program invites applications for a one-year, non-renewable scholar in residence position in machine learning starting in August 2022. Applicants must display a strong publication record, as well as excellent teaching skills to prepare the new generation of data scientists.

Who we are:

Argo AI is a global self-driving products and services company on a mission to make the world’s streets and roadways safe, accessible, and useful for all. Our technology is built to enable commercial services for autonomous delivery and ridesharing in cities.

With experienced leaders in the field and collaborative partnerships with some of the world’s top consumer brands, we’re working block by block, city by city to empower people and businesses to be more successful. We’re individuals driven by strong values to solve complex problems together. Come join us to reimagine the human journey.

Meet the team:

The Data Science team is providing data exploration and analysis for the entire organization including Testing Operations, Hardware, Software, Management, and Product teams. We analyze data needed to provide actionable insights, draw conclusions from the data, and support data driven decision making at Argo AI. We are hiring experienced Data Scientists to work in high visibility roles that provide the opportunity to learn about, interact with, and add significant value to every part of our company.

What you’ll do:

Collaborate with stakeholders to identify their needs and provide data-driven solutions
Apply statistical methods to support high-quality and meaningful data analyses
Leverage data to drive and optimize engineering processes at Argo AI
Help define and promote Data Science strategy and best practices
Work with modern cloud, big data, and analytics technologies
Own initiatives from inception to implementation
What you'll need to succeed:

Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field
At least 3-years of relevant working experiences as a Data Scientist
Significant experience applying statistical methods to data analysis and modeling. This includes construction of confidence intervals, prediction intervals, and advanced regression analyses
Understanding of engineering and testing processes in autonomous driving development is a plus
Experience working with SQL and NoSQL database technologies
Experience working with Data Warehouses like Redshift, BigQuery, or Snowflake
Proficiency analyzing data with Python (or R)
Strong team player that can collaborate effectively with customers and other teams
Strong presentation and communication skills
What we offer you:

High-quality individual and family medical, dental, and vision insurance
Competitive compensation packages
Employer-matched 401(k) retirement plan with immediate vesting
Employer-paid group term life insurance and the option to elect voluntary life insurance
Paid parental leave
Paid medical leave
Unlimited vacation
Complimentary daily lunches, beverages, and snacks
Pre-tax commuter benefits
Monthly wellness stipend
Professional development reimbursement
Employee assistance program
Discounted programs that include legal services, identity theft protection, pet insurance, and more
Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Our Background:

Argo AI was founded in 2016 by industry experts with extensive experience building robotic systems for commercial applications. Our once-small team has since grown into an over 1,700-person strong company with strategic partnerships with some of the world’s leading consumer brands. With global headquarters in Pittsburgh, we operate in eight cities across the U.S. and Germany in areas where self-driving technology can have the biggest impact on improving safety, traffic, and transportation equity.

At Argo AI, we believe that embracing differences delivers superior results. We are an equal opportunity employer that is committed to an inclusive environment for all employees.

To ensure the health and well being of our teammates and partners, Argo is working toward a policy that requires those working on site to be fully vaccinated against COVID-19. The amount of on-site work required for each role will vary based on the essential functions of the position and designations made by team leaders. Whenever possible, we try to consider special circumstances and provide flexibility for some remote work.

This role is designated as one that requires frequent on-site work. Candidates should expect to come into the workplace 5 days per week. A COVID-19 vaccination is required to come on site. Argo will consider accommodations for disability and religious-based reasons or as otherwise required by applicable law.

A postdoctoral position is available in the Human and Computer Vision Laboratory of James Elder at York University, Toronto, Canada. The candidate should have a research background in computer vision or image processing.

The position will involve collaborative research on both fundamental and applied projects, with emphasis on applications to dynamic urban scene understanding. Specific topics of current interest include:

- Contour processing
- Perceptual organization / Segmentation
- Shape representation
- Natural scene statistics
- Attentive vision systems
- Mobile robot vision systems
- Camera calibration / rectification
- Single-view 3D reconstruction
- Sports videography
- Pedestrian analytics
- Traffic analytics

The salary for this position is competitive and the starting date is flexible. The position is for one year, with the expectation of renewal. The application deadline is Apr 15, 2022. International applications are encouraged.

The Elder Laboratory is part of the York Centre for Vision Research (CVR), the York Vision: Science to Applications (VISTA) Program and the Intelligent Systems for Sustainable Urban Mobility (ISSUM) project.

Please direct your application to Ms. Anna Kajor at akajor@yorku.ca, with the subject line Application: Computer Vision Postdoctoral Fellowship. Your application should include your c.v. and the names of 3 referees.

The Company

At Hop Labs, our mission is simple: we build technology that meaningfully impacts people’s lives.

We work on a variety of projects in a range of industries, from fighting cancer through deep learning, to training a computer to help you find the best-fitting pair of pants. We've helped large, established companies nurture innovative ideas, and we’ve collaborated with cutting-edge startups to be the large, established companies of tomorrow.

The Team

Our team reflects our belief in quality over quantity. Some of our past projects have resulted in publications and patents, have been featured in the press, and have been deployed with well-known brands. We do few things, but we do them extremely well:

Machine Learning -- Deep Learning / AI / RNNs
Computer Vision
Product Strategy and Product Roadmap
MVP Development

We're a small team focused on making an outsized impact. We embrace diversity, investing in our people, and flexible work schedules. Our team is fully remote, with an emphasis on staying connected and learning from each other.

At Hop Labs, we aim to enjoy our work and deliver beyond expectations. If you’re a technologist who wants to work on projects that make a difference, we want to hear from you.

The Role

We’re looking to hire a Computer Vision Research Engineer on an independent contractor or employee basis. Titles can be arbitrary, so you should consider yourself a good fit for this if:

• You have experience with computer vision and an interest in developing your skills there.
• You enjoy solving research-grade problems at scale, for real business impact.
• You’re comfortable proposing end-to-end technical architectures that balance modularity, scalability, operations, security, and cost.
• You understand that clarity and simplicity -- in code and in communication -- are worth striving for.

As a distributed team, some key qualities are particularly important for all of us at Hop Labs:

• A strong sense of ownership and initiative
• Clear and consistent communication
• A collaborative mindset
• Clear thinking and attention to detail for complex projects
• Comfort with operating independently as well as part of a small, targeted team

For this role specifically:

• Open to all backgrounds, though computer vision background strongly preferred
• Intermediate to senior level
• Location: remote within the U.S.

If this role sounds like a good fit for you, please reach out! We’ve made an effort to create a hiring process that is low-pressure, skills-focused, and compatible with the other commitments in your life.

Spun out of MIT and the University of Wisconsin-Madison by world-class experts, ubicept’s dynamic team is shaping the next generation of perception and computer vision to make the world a safer, better understood place.

We are looking for interns excited to be involved with an early-stage, well-funded start-up. We are looking for students with backgrounds in computer science or electrical engineering, mechanical engineering, product and business development, and marketing. Students will be working closely with the start-up leadership team.

Both undergraduate and graduate students should apply for this position. Specific projects and tasking will be influenced by level of experience and area of interest. Duration and start-date are flexible, with this position having the option of extending into the academic year.

- Computer Science and Electrical Engineering: Students will work closely with the technical team, implementing computer vision algorithms and developing GUIs. Opportunities are also available in embedded software, perception, and imaging systems.

- Mechanical Engineering: Students will work closely with the technical team, developing rapid prototypes of enclosures and mechanical interfaces for the prototype camera system and dev kit. Students interested in this position should have experience with CAD and rapid prototyping.

- Product and Business Development: Students will work closely with business and product leads to identify and perform product-market fit, market analysis, and customer needs analysis. Graduate-level students interested in this position will have the option to lead the market analysis and customer outreach for a target industry.

- Marketing: Students will work directly with both the technical and business/product teams to develop marketing materials, including pitch decks and concept videos. Students will have the option to work closely with our prototype camera systems to build our demo videos, comparing our camera’s performance to other’s available on the market in head-to-head comparisons. Students should have a desire to illustrate ‘the art of the possible,’ communicating to customers not just what our system can do for them today, but also our vision. Students will also have the option of building our brand’s online presence, including website and social media.

Spun out of MIT and the University of Wisconsin-Madison by world-class experts, ubicept’s dynamic team is shaping the next generation of perception and computer vision to make the world a safer, better understood place.

In this role, you will be driving forward our active sensing capability development, distilling stakeholder needs and customer requirements to build a demonstration prototype imaging system consisting of electronics, computing, laser illumination, and imaging optics. This position requires substantial independence and has a strong growth potential.  

Ideally your background covers one or more of these categories:
- Experience with 3D imaging
- Experience with design and calibration of point scanning imaging systems and cameras (for example LiDAR or microscopy)
- Experience with single photon cameras and sensors
- Experience with embedded computing
- Experience with prototype electronic and mechanical design

Spun out of MIT and the University of Wisconsin-Madison by world-class experts, ubicept’s dynamic team is shaping the next generation of perception and computer vision to make the world a safer, better understood place.

In this role, you will work closely with the CEO and CTO to develop product requirements and integration with customer applications. You will join a team of highly motivated CV software engineers to implement high-level computer vision algorithms using our unique imaging capabilities.

Ideally you bring:
- Deep understanding of computer vision algorithms, their limitations and tradeoffs, including traditional and deep learning-based approaches
- Knowledge of modern software development practices in C++/Python
- 2-5 Years leading and scaling capable and dynamic technical software development teams
- MS, PhD, or 5+ years working with vision-based perception algorithms in industry

Icing on the cake:
- Experience with robotics frameworks such as ROS
- Experience integrating perception systems with larger systems
- Understanding of low-level image processing pipelines: demosaicing, denoising, etc
- Knowledge of camera calibration, and data fusion (e.g. with LiDAR)
- Experience with geometric computer vision tasks (e.g. SLAM, VIO, Stereo)
- Experience working with labeling providers or building labeling tools for training datasets

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.

Postdoctoral Fellowship in Computer Vision Applications in Musculoskeletal Injuries

The Musculoskeletal Informatics Group in the Department of Orthopaedic Surgery at Boston Children’s Hospital and Harvard Medical School has an immediate opening for outstanding, highly motivated postdoctoral research fellow to work on several computer vision projects to assist with clinical decision making in patients with a range of orthopedic problems. The postdoctoral fellow will work with a multidisciplinary team of biomedical engineers, orthopedic surgeons, and computer and data scientists to develop unbiased algorithms to analyze medical images (e.g., MRI and CT). This fellowship opportunity is primarily focused on translational research with immediate impact on clinical care of patients with a range of musculoskeletal conditions, through publication of novel findings and development of computational tools used by clinicians. The postdoctoral fellow will have joint appointments at Boston Children’s Hospital and Harvard Medical School and will benefit from access to the largest medical R&D community in the world (Longwood / Boston), along with numerous career development resources offered by Harvard University and its affiliated hospitals and research centers. The successful candidate will have:
- PhD or MD/PhD in Computer Science, Data Science, Biomedical Engineering, or related fields with strong background in Computer Vision and ML platforms.
- Experience taking a Computer Vision project from concept to production
- Building deep neural networks with modern tools, such as PyTorch or Tensorflow
- Expertise with Python
- Experience with Medical Images
- Experience with Generative Adversarial Network (GAN)
- At least one first author journal publication or peer-reviewed conference papers (e.g., MICCAI)
- Excellent communication skills in English.
- Considering the translational nature of our work, prior relevant industry experience (i.e., internship) is highly desirable.

This is a full-time one-year appointment with potential second year extension based on applicant’s performance. Interested applicants, please send your CV along with a copy of a technical paper, a "paragraph" including statement of goals and contact information for three references to:

Ata Kiapour, PhD MMSc
Director of Musculoskeletal Informatics Group, Boston Children’s Hospital
Assistant Professor of Orthopedic Surgery, Harvard Medical School
Ata.kiapour@childrens.harvard.edu
https://www.musculoskeletal.ai/

Position Summary

The AI team at Samsung Research UK is currently looking for Computer Vision and Machine Learning intern to join our team in Staines-upon-Thames. This is a good opportunity to work on next-generation mobile devices from Samsung.The prospective intern will investigate vision techniques for content creation and image manipulation, e.g. style transfer, and processing of live camera frames and images on PC and mobile environment. The prospective engineer will have an opportunity to work in production environments and solve industry-relevant problems.This will be a 6 month internship to start in May/June 2022.

Role and Responsibilities

As a Machine Learning Intern - Computer Vision you will:

• Review the state of the art computer vision research papers and develop prototype solutions.
• Development of software and algorithms for computer vision, image processing and deep learning models
• Have technical responsibility for one or more significant sections of the assigned project
• Translate complex functional and technical requirements into detailed design

Skills and Qualifications

Required Skills

• Currently studying for a PhD in Mathematics, Computer Science or a related discipline (or just completing).
• Programming proficiency one or more of programming language and APIs like C++/Java/Python
• Computer vision, machine/deep learning or related fields
• Excellent communication, teamwork and a results-oriented attitude
• Proficiency in problem-solving and debugging

Desirable Skills

• Content creation and image manipulation, e.g. style transfer
• Computational photography, image segmentation and 3-D vision
• Experience in using Deep Learning libraries like Pytorch and/or TensorFlow
• Experience in Android application development

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

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 Teams and Skype). 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 Applied Scientist who is passionate about machine learning and driven to make an impact by developing state-of-the-art new technologies in video compression.

Primary responsibilities:
• Apply machine learning to create new machine learning-based video codecs
• Drive independent investigations resulting in shipping product code, patents, and publications.

Qualifications:
• Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent
• Deep knowledge of computer vision, especially in applying DNN’s to vision problems
• Minimum of 6 years of experience in deep learning and using tools like TensorFlow/Pytorch
• Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

Our R&D team is looking for several Researcher-Developers in Digital Vision to design, develop and fine-tune our future sensor platforms.

You'll be responsible for:
Developing new architectures related to 3D measurement and new principles of 3D scanning;
Implementing new functionalities of software applications related to capture technologies;
Developing methods of modeling and calibration of systems;
Implementing the algorithms in C++ language with a great rigor and a concern of CPU and GPU efficiency;
Presenting research results, experimental results, concepts and algorithms under development to the rest of the team.

Your projects will lead you to:
Work on tangible products, from embryonic prototypes to final product;
Actively participate in daily Scrums and weekly follow-up meetings;
Put your ideas to the test to solve complex problems that do not yet have a solution;
Collaborate with a versatile and dynamic team of experienced researchers.

You will feel at home if you:
Hold a university degree (master's or doctorate) in computer engineering, physics, electrical engineering, mathematics or software engineering;
Have experience or knowledge in the following areas:
computer vision and image processing, geometry and 3d reconstruction;
linear algebra, matrix calculus, numerical optimization methods;
C++ programming, GPU/Cuda, and computer architecture;
Are able to work in a French-speaking environment.

In exchange, we offer you
The chance to work in a stimulating work environment within a strong and passionate R&D team;
The possibility to experiment, to be creative with a great latitude;
The opportunity to develop your skills and expertise;
Flexible hours;
A generous and flexible remote-working policy, even after Covid, when the position allows it;
A salary and growth potential that meets your expectations;
An environment that is open to the world and in constant growth;
A competitive salary;
Competitive benefits, including dental and vision insurance;
A dynamic, human and stimulating company that is open to the world;
A wide range of social activities, and much more !

As a subsidiary of AMETEK Inc, a leading global manufacturer of electronic instruments and electromechanical devices, Creaform is internationally recognized for its cutting-edge technologies and R&D excellence. Although we are developing our market on a global scale, our work environment preserves the entrepreneurial spirit and dynamism of a start-up company.

Consider applying even if your skillset is not a perfect match. We believe our individual background and experiences, paired with passion, can go a long way.

AMETEK is a highly technical manufacturing company made up of 40 industry leading companies. Our mission is to solve our customers’ most challenging problems with differentiated technology solutions. We employee 18,000 colleagues in more than 30 countries. AMETEK (NYSE:AME) is a component of the S&P 500. Visit www.ametek.com for more information.

Company Description
DeepMirror, founded in 2019, is building next-generation computing platforms that enable large-scale AR capabilities. The company is developing innovative spatial intelligence technologies and delivering new experience in gaming, social network, shopping, and more. The company has raised 10+ million dollars in Pre-A round.

Responsibilities
Develop intelligent algorithms for large scale aerial image analysis
Collaborate with engineering teams to integrate algorithms into existing pipelines

Required Qualifications
Master or PhD in computer science or a related field
2 years+ experience in aerial image analysis
Proficiency in programming with python and/or C++

Preferred Qualifications
Knowledge of 3D computer vision
Experience with geospatial data processing (raster and vector data)

At Innovasea Inc, we are seeking an experienced Computer vision research engineer to join our energetic team and help shape the next generation of ocean farming solutions by leveraging advanced computer vision, 3D reconstruction and imaging techniques.

We are looking for researchers and engineers at all levels.

Responsibilities:

• Develop 3D reconstruction algorithms to precisely measure the shape and size of fish in challenging underwater scenarios
• Implement camera calibration, stereo vision and multi-view geometry based 3D reconstruction algorithms
• Work with Machine Vision team to help evaluate imaging, help specify cameras, optics for challenging underwater scenarios
• Collaborate with embedded software engineering team to productize R&D algorithms
• Collaborate with clients and scientific advisors in marine biology, oceanography
• Some travel may be required: domestically and abroad to R&D sites and customer locations when necessary

Required Experience:

• Strong experience implementing camera calibration, stereo and multi-view geometry based 3D reconstruction methods.
• 4+ years of experience developing algorithms for image processing, computer vision or similar domains.
  Proficient in computer vision - object detection and tracking; multiple view geometry, 3D geometry reconstruction methods.
• Hands-on experience with C/C++ and Python
• Hands-on experience with OpenCV, PyTorch, TensorFlow machine learning libraries
• Excellent problem solving and communication skills

Detailed job description

Steg.ai’s mission is to protect and authenticate digital media. We do it by writing software that uses AI technology to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.

You will work with the machine learning team to design and implement state of the art deep learning algorithms for steganography with digital media (e.g. images, video, etc.), and work with the engineering team to deploy these algorithms to mobile, desktop, and cloud platforms.

We are looking to fill this position by summer/fall 2022. See the full job description here: Machine Learning Scientist.

Steg.ai's mission is to protect and authenticate digital media. We do it by writing software that uses AI technology to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.

You will work with the machine learning team to design and implement state of the art deep learning algorithms for steganography with digital media (e.g. images, video, etc.), and work with the engineering team to deploy these algorithms to mobile, desktop, and cloud platforms.

We are aiming to fill this position in summer/fall of 2022. See the full job description here: Machine Learning Scientist.

Dr. Terrance Boult and his team at Vision and Security Technology Lab at the University of Colorado Colorado Springs (UCCS) has one opening for one Researcher with a record of accomplishment in face recognition. Title and salary are dependent on the candidate's qualifications and experience. Position length can vary from 6months (US eligible works only) to 2.5 years. For positions greater than a year, we can handle International Visa issues including (J1 or H1B). Displaced persons from regions where conflicts have impacted University Operations (e.g. Ukraine, Afghanistan, Myanmar, Yemen Ethiopia, Eritrea, Sudan) should apply online and also send email to be given rapid consideration.

This position will be working on our project on long-range (500m-1k) face recognition as part of a multi-university international team looking at long-range multi-biometric-based identification. Experience in python is required; PyTorch experience is preferred.

Get More details and Apply at https://cu.taleo.net/careersection/targeted+hire/jobdetail.ftl?job=2220…

Dr. Terrance Boult and his team at Vision and Security Technology Lab at the University of Colorado Colorado Springs (UCCS) has multiple immediate openings for one or more highly motivated ML researcher(s) with a record of accomplishment in machine learning and/or computer vision. Title and salary are dependent on the candidate's qualifications and experience. Position length can vary from 6months (US eligible works only) to 2 years. For positions greater than a year, we can handle International Visa issues including (J1 or H1B). Displaced persons from regions where conflicts have impacted University Operations (e.g. Ukraine, Afghanistan, Myanmar, Yemen Ethiopia, Eritrea, Sudan) should apply online and also send email to be given rapid consideration.

These positions will advance machine learning focused on dealing with unknown or novel inputs and build on the labs decade long track record and recognized leadership in open-set and open-world recognition and learning. Experience in python is required; PyTorch experience is preferred.

A Senior Professional Research Assistant is a non-tenure track research position, doing advanced research and development. A Research Associate is a non-tenure track research position, similar to a research professor and, as such, are expected to direct and manage graduate and undergraduate students as well as work on grant proposals and project management, reporting, and financial tracking. They may also serve on students’ Ph.D. committees once admitted to the graduate faculty. They will also have normal post-doctoral duties of performing research, developing software, and writing papers.

Get More details and Apply at https://cu.taleo.net/careersection/targeted+hire/jobdetail.ftl?job=2220…