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Computer Vision Engineer Jobs in Washington (NOW HIRING)

Babel Street

Image & Computer Vision AI Engineer

Reston, VA · On-site

$119.10K - $143K/yr

As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence applications.

Kitware

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

Computer Vision Researcher

Arlington, VA · On-site

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

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$54.9K

$137.6K

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How much do computer vision engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for computer vision engineer in Washington is $137,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $148,900.00 per year, depending on experience, location, and employer.

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 are Computer Vision Engineers?

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 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? The most popular types of Computer Vision Engineer jobs in Washington are:
What are popular job titles related to Computer Vision Engineer jobs in Washington? For Computer Vision Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Washington look for? The top searched job categories for Computer Vision Engineer jobs in Washington are:
What cities in Washington are hiring for Computer Vision Engineer jobs? Cities in Washington with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you

Senior AI/ML Computer Vision Engineer (TS/SCI w/ CI Poly Require with Security Clearance

D9Tech Resources, LLC

Springfield, VA

$101.60K - $139.50K/yr

Contractor

Posted 10 days ago

Job description

Senior AI/ML Computer Vision Engineer (TS/SCI w/ CI Poly Required) We are supporting a high-impact, mission-focused program within the national security space and are seeking experienced AI/ML Engineers with strong computer vision and model evaluation backgrounds. This role involves working with large-scale data in a classified environment to support advanced machine learning and computer vision initiatives. ⚠️ Note: Active TS/SCI with CI Polygraph is required. Candidates without this clearance will not be considered. Key Responsibilities:
Develop and evaluate machine learning and computer vision models at scale
Build and refine model evaluation pipelines and performance metrics
Support development of ground truth datasets and validation workflows
Work with large-scale datasets in secure cloud environments
Collaborate with engineering and data teams to deliver production solutions Required Qualifications:
Active TS/SCI clearance with CI Polygraph (REQUIRED)
5+ years of software engineering or machine learning experience
Strong experience with Python and ML frameworks (PyTorch, TensorFlow, etc.)
Hands-on experience with computer vision model development and evaluation
Experience working with large datasets and distributed processing
Experience with AWS services (S3, EC2, Lambda, etc.) Preferred Qualifications:
Experience working with large-scale imagery or similar datasets
Familiarity with model evaluation frameworks or custom metrics pipelines
Experience with distributed processing tools (Spark, Ray, Dask)
Prior experience in classified environments
AWS certifications or advanced cloud experience

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