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Computer Vision Engineer Jobs in Washington, DC (NOW HIRING)

Kitware

3D Computer Vision Researcher

Arlington, VA

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Cymertek

AI/ML Engineer

Chantilly, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Tysons, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Annapolis Junction, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Washington, DC

Computer Vision Engineer information

See Washington, DC salary details

$54.9K

$137.6K

$155.6K

How much do computer vision engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer vision engineer in Washington, DC is $137,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $148,900.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Washington, DC?

The most popular types of Computer Vision Engineer jobs in Washington, DC are:

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For Computer Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:

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The top searched job categories for Computer Vision Engineer jobs in Washington, DC are:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $137,551 per year, or $66.1 per hour.

3D Computer Vision Researcher

Kitware

Arlington, VA

$155K - $215K/yr

Full-time

Re-posted 5 days ago

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: 
Kitware’s 3D computer vision team develops algorithms and open source applications for photogrammetry: reconstructing 3D models of objects from images and video. Current 3D projects have an emphasis on aerial and satellite imagery sources, but capabilities are often adapted to other problem domains. These projects have created and continue to support the development of TeleSculptor, an open source application for aerial 3D reconstruction built on KWIVER, and Danesfield, an open source Python framework and web application for urban 3D modeling from satellite imagery. Our 3D vision research projects support the continued development of these tools, development and publication of new cutting edge 3D reconstruction and camera calibration algorithms, and opportunities to leverage 3D vision to assist with broader computer vision topics. The team is exploring how 3D vision algorithms can aid in object detection and tracking, change detection, super resolution, video compression, super resolution, and various other problems. We frequently explore opportunities to adapt our work to new customers with new challenges and new data domains such as underwater imagery or synthetic aperture radar.

Kitware’s 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:
  • Conduct research and develop solutions for problems related to camera calibration, registration, and 3D reconstruction from images
  • Contribute to the development of open source software such as TeleSculptor, KWIVER, or Danesfield
  • Collaborate with other researchers to brainstorm ideas and peer review work
  • Prepare and present research findings to customers and collaborators
  • 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
  • Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video
  • Experience with AL/ML methods for 3D reconstruction or camera calibration
  • Experience with good software development practices and proficiency in C++ and/or Python
  • Strong publication record in top-tier research publications and conferences such as CVPR, ICCV, and ECCV
  • 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 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.