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Computer Vision Scientist Jobs in Virginia (NOW HIRING)

Senior Computer Vision EngineerRequisition ID: TA206Location: RemoteApplication Deadline: We are ... Our diverse talented staff of scientists, engineers, and business professionals support critical ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Are you an innovative and experienced artificial ... Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... In this role, you will leverage your expertise in AI, data science, and machine learning (ML ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... In this role, you will leverage your expertise in AI, data science, and machine learning (ML ...

Sr. Computer Vision Engineer

Herndon, VA · On-site

$107K - $147K/yr

Required : • 5+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientist with at least 2 years focused on computer vision • Bachelor's Degree or ...

... scientific computing, and medical computing. * Develop robust solutions in the various areas of AI, including Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs), Vision ...

... scientific computing, and medical computing. * Develop robust solutions in the various areas of AI, including Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs), Vision ...

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 ... PhD in Computer Science or related field * Strong publication record in top-tier research ...

Senior Computer Vision Engineer

Ashburn, VA · On-site

$106K - $146K/yr

... Science) to integrate vision systems into final products.Minimum Qualifications:+ HS Diploma/GED ... computer vision libraries (OpenCV, SimpleITK, ITKm VTK).+ Demonstrated ability in image ...

Kitware's 3D computer vision team develops algorithms and open source applications for ... PhD in Computer Science or related field * Experience using multiview geometry to develop ...

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Computer Vision Scientist information

See Virginia salary details

$50.1K

$110.4K

$136.3K

How much do computer vision scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer vision scientist in Virginia is $110,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a computer vision scientist?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

What are the key skills and qualifications needed to thrive as a computer vision scientist?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

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

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

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

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

What job categories do people searching Computer Vision Scientist jobs in Virginia look for?

The top searched job categories for Computer Vision Scientist jobs in Virginia are:

Infographic showing various Computer Vision Scientist job openings in Virginia as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 6% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $110,388 per year, or $53.1 per hour.

TS206 Computer Vision Engineer

Chantilly, VA • On-site

$160K - $215K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description

# TS206 Computer Vision EngineerWarriors SolutionsChantilly, USFull-time£160,000 - £215,000## About the RolePosition Title: Senior Computer Vision EngineerRequisition ID: TA206Location: RemoteApplication Deadline: We are accepting applications on an ongoing basisWho We AreTrusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation'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 CultureAs 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 DescriptionTrusted 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• Bachelor'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 audiencesDesired Skills• Master'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 oneSalary 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; p #J-18808-Ljbffr