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Computer Vision Researcher Jobs (NOW HIRING)

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

Computer Vision Researcher

Clifton Park, NY · On-site

$125K - $170K/yr

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

3D Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

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Showing results 1-20

Computer Vision Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do computer vision researcher jobs pay per year?

As of Jun 19, 2026, the average yearly pay for computer vision researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a Computer Vision Researcher do?

A Computer Vision Researcher develops algorithms and models that enable computers to interpret and understand visual information from the world, such as images and videos. They work on tasks like object detection, image segmentation, and facial recognition, often using techniques from machine learning and artificial intelligence. Their work is applied in fields such as autonomous vehicles, medical imaging, robotics, and augmented reality. Computer Vision Researchers typically conduct experiments, publish scientific papers, and collaborate with engineers to implement their findings in real-world applications.

What are some common challenges faced by Computer Vision Researchers when transitioning from theoretical research to practical applications?

Computer Vision Researchers often encounter challenges when moving from theoretical models to real-world deployment, such as dealing with noisy or incomplete data, ensuring scalability, and optimizing models for real-time performance. Collaborative work with software engineers and domain experts is crucial to address these issues and to adapt state-of-the-art algorithms for production environments. Additionally, staying updated with rapidly evolving tools and frameworks is essential for successfully bridging the gap between research and application.

What is the difference between Computer Vision Researcher vs Machine Learning Engineer?

AspectComputer Vision ResearcherMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Data Science, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Employer & Industry UsageUniversities, research institutions, AI-focused companiesTechnology firms, software companies, AI product development
Common Search & ComparisonYesYes

While both roles involve AI and machine learning, a Computer Vision Researcher primarily focuses on developing algorithms for visual data analysis and often works in research settings. In contrast, a Machine Learning Engineer applies machine learning techniques to build scalable AI products and solutions in industry environments.

What are the key skills and qualifications needed to thrive as a Computer Vision Researcher, and why are they important?

To thrive as a Computer Vision Researcher, you need a strong background in mathematics, machine learning, image processing, and typically a graduate degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python or C++), and familiarity with relevant research publications are highly valued. Creativity, problem-solving abilities, and strong communication skills help researchers innovate and effectively share findings. These competencies are vital for advancing technology, developing novel algorithms, and collaborating within multidisciplinary teams.
More about Computer Vision Researcher jobs
What states have the most Computer Vision Researcher jobs? States with the most job openings for Computer Vision Researcher jobs include:
Infographic showing various Computer Vision Researcher job openings in the United States as of June 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Temporary. Highlights an 100% In-person job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Computer Vision Researcher

Computer Vision Researcher

Kitware

Clifton Park, NY

Full-time

Posted 4 days ago

Be an early applicant


Job description

Team Description:
Kitware's computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. 

About the Projects: 
Our employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security, making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you’ve used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.
In This Position You Will:
  • Develop robust solutions in the areas of object based detection, feature detection, motion pattern learning and anomaly detection
  • Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
  • Be encouraged to seek funding to grow and develop your own research areas, if you desire
Required Qualifications:
  • PhD in Computer Science or related field
  • Strong publication record in top-tier research publications and conferences
  • Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
  • Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
  • Candidates should include a detailed list of publications as part of their resume/CV
  • Due to contractual restrictions, only US Citizens will be considered for this position
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
Preferred Qualifications:
  • Experience with deep learning methods is desirable, but not required
  • Experience with geospatial coordinates systems and transformation is desirable, but not required
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.  

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 

For more information on our benefit offerings please visit: https://www.kitware.com/careers/.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 

Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.

If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at hr@kitware.com at any time during the hiring process.  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.