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Computer Vision Scientist Jobs in Virginia (NOW HIRING)

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Generate and analyze synthetic data to augment computer vision models where real-world data is ...

Machine Learning Engineer

Mclean, VA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role sits at the intersection of applied machine learning, data science, and production systems, with a focus on building and deploying solutions that leverage machine learning, computer vision ...

Data Scientist (Active TS/SCI Clearance) Top Mandatory Skills * 8+ years of experience in Data ... and Computer Vision models. * Experience with Signal Processing, Geospatial Analytics, Object ...

Senior Computer Scientist

Chesapeake, VA · On-site

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Job Title Senior Computer Scientist Location Norfolk, VA 23324 US (Primary) Category Research ... Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A ...

Data Scientist

Reston, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Responsibilities Noblis is hiring a Computer Vision (CV) Data Scientist with an active security clearance ( TS/SCI with a polygraph ) to join our team in Reston, Virginia . In this role, you will ...

Data Scientist

Herndon, VA · On-site

$106K - $180K/yr

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Generate and analyze synthetic data to augment computer vision models where real-world data is ...

Data Scientist

Reston, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Responsibilities Noblis is hiring a Computer Vision (CV) Data Scientist with an active security clearance ( TS/SCI with a polygraph ) to join our team in Reston, Virginia . In this role, you will ...

Data Scientist

Herndon, VA · On-site

$106K - $180K/yr

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Generate and analyze synthetic data to augment computer vision models where real-world data is ...

Computer Scientist - Mid

Reston, VA · On-site

$145K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Estimated Starting Salary Range for Computer Scientist - Mid : $145,000 - $160,000. Full time benefits include Medical, Dental, Vision, 401K and other possible benefits as provided. Benefits are ...

Data Scientist

Richmond, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview: CoStar Group (NASDAQ ... computer vision and multi-modal approaches, to improve the quality and timeliness of key business ...

Data Scientist

Richmond, VA · On-site

$71 - $105/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview: CoStar Group (NASDAQ ... Leverage frontier artificial intelligence models, potentially including computer vision and multi ...

... Computer Vision/Object Detection. Preferred : • Prior experience with Pytorch, Keras, and ... science, mathematics, statistics, etc.) with 1 year of relevant experience. Company : The world ...

Data Scientist

Richmond, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview: CoStar Group (NASDAQ ... Leverage frontier artificial intelligence models, potentially including computer vision and multi ...

Showing results 41-60

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 Aug 20, 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 August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,388 per year, or $53.1 per hour.

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Full-time

Re-posted 29 days ago


Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

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