1

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

Applied Computer Vision Engineer (TS/SCI)

Herndon, VA ยท On-site

$114.70K - $135.20K/yr

We need a Computer Vision (CV) engineer to work on the full stack of the CV workflow, to include acquiring and standardization of imagery data, designing experiments and developing CV models, testing ...

next page

Showing results 1-20

Computer Vision Engineer information

See Washington, DC salary details

$54.7K

$137.1K

$155.1K

How much do computer vision engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for computer vision engineer in Washington, DC is $137,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $148,400.00 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.

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:
What are popular job titles related to Computer Vision Engineer jobs in Washington, DC? For Computer Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Washington, DC look for? The top searched job categories for Computer Vision Engineer jobs in Washington, DC are:
Infographic showing various Computer Vision Engineer job openings in Washington, DC as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $137,111 per year, or $65.9 per hour.

TS206 Computer Vision Engineer with Security Clearance

Warriors

Chantilly, VA โ€ข On-site, Remote

$160K - $215K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Position Title: Senior Computer Vision Engineer
Requisition ID: TA206
Location: Remote
Application Deadline: We are accepting applications on an ongoing basis Who We Are
Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nationโ€™s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure. Our Culture
As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges. Job Description
Trusted Space is seeking a Senior Computer Vision Engineer with a bachelor's degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers. Key Responsibilities
* Technical Execution Leadership: Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment.
* Strategic Technical Planning: Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders.
* Lead Model Development: Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints.
* Lead Dataset curation: Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run.
* Research & Innovation: Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance.
Qualifications
* United States citizenship required
* Bachelorโ€™s degree in Imaging Science, Computer Science, Computer Vision, or related field
* 8+ years of experience in Computer Vision
* 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features
* Strong Proficiency in Python, C++, or other relevant languages
* Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn
* Strong foundation in mathematics, statistics, and linear algebra
* Ability to identify and solve complex problems related to imagery analysis
* Presenting technical choices and trade-offs to executives and non-technical clients
* Ability to effectively communicate technical information to executives and non-technical audiences
Desired Skills
* Masterโ€™s or PhD degree in Imaging Science, Computer Vision, or Computer Science
* Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection
* Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and RayTune
* Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors
* Experience building and designing modern architectures such as CNNs and Vision Transformers
* Experience with data analysis tools and techniques such as JupyterLab, Napari, and Monai, and convey complex results
* Experience with modern offline data labeling techniques
* Active TS/SCI clearance or eligibility to obtain one
Salary Range: The salary range for this role is $160,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations. Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance. Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need. DISCLAIMER: Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc.