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Computer Vision Scientist Jobs in Virginia (NOW HIRING)

Your Day to Day as a Data Scientist, Computer Vision: * Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment ...

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 ...

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 ...

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 ...

Computer Vision Engineer - Senior

Springfield, VA

$109.20K - $149.90K/yr

Bachelor's degree in Computer Science, Data Science, or a related field; equivalent experience will be considered. 9+ years of experience in computer vision, machine learning, or closely related ...

Computer Vision Engineer - Senior

Springfield, VA · On-site

$109.20K - $149.90K/yr

... degree in Computer Science, Data Science, or a related field; equivalent experience will be ... vision, machine learning, or closely related fields. • Proficiency in Python and its ecosystem ...

Computer Vision Engineer - Senior

Springfield, VA

$109.20K - $149.90K/yr

... degree in Computer Science, Data Science, or a related field; equivalent experience will be ... vision, machine learning, or closely related fields. • Proficiency in Python and its ecosystem ...

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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 May 29, 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 are the key skills and qualifications needed to thrive as a Computer Vision Scientist, and why are they important?

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 are Computer Vision Scientists?

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 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.

Infographic showing various Computer Vision Scientist job openings in Virginia as of May 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $110,388 per year, or $53.1 per hour.

Data Scientist, Computer Vision

BWX Technologies

Lynchburg, VA • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 12 days ago


BWX Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com. Follow us on LinkedIn, X, Facebook and Instagram.
Welcome to BWXT
We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you're an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.
BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.
If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.
Position Overview:
BWXT Advanced Technologies is seeking a Data Scientist, Computer Vision (Classification & Deep Learning) to design, train, evaluate, and productionize image classification models that power critical decisions across our products and operations. You will own datasets, modeling, and deployment for robust, scalable visual classification-delivering measurable accuracy, reliability, and latency improvements.
Location:
This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.
Your Day to Day as a Data Scientist, Computer Vision:
  • Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment, and monitoring.
  • Develop modern deep learning models using CNNs (ResNet/EfficientNet) and Vision Transformers (ViT/Swin), leveraging transfer learning, fine tuning, and self /weakly supervised methods as appropriate.
  • Handle imbalanced/noisy/multi label data with class aware sampling, focal/cost sensitive losses, label smoothing, and advanced augmentations (RandAugment, MixUp, CutMix).
  • Establish rigorous evaluation: precision/recall, F1, ROC/PR AUC, calibration, confusion analysis, per class metrics, subgroup fairness, and stress testing for lighting, occlusion, motion blur, and device variation.
  • Build data & experiment pipelines: image ingestion, labeling QC, dataset versioning and experiment tracking with automated reproducibility.
  • Production operations: deploy services, implement drift detection and alerting, schedule retraining, support A/B tests and human in the loop review.
  • Cross functional collaboration with data engineering, product, operations, and quality to integrate outputs into workflows and dashboards.

Required Qualifications:
  • A bachelor's degree in computer science, electrical engineering, physics, or related field is required.
    • A minimum of six (6) years of building and deploying computer vision classification models in production or related work experience is required.
  • Must have strong experience with PyTorch (preferred) or TensorFlow/Keras; along with proficiency in Python (NumPy/Pandas); and familiarity with scikit learn for baselines and metrics.
  • Must have hands on with OpenCV, torchvision/timm, albumentations; image pre /post processing and dataset curation.
  • Must have demonstrated expertise with CNNs & Vision Transformers, transfer/self supervised learning (e.g., SimCLR/MoCo/DINO/MAE), mixed precision training, and training efficiency.
  • Must have experience exporting and serving models (ONNX, TensorRT/OpenVINO), containerization (Docker), and CI/CD for ML services.
  • Must be able to communicate effectively and translate model results into actionable product/operations insights.
  • Must have a deep understanding of image classification theory and practice: loss functions, optimization, augmentation, calibration, and thresholding.
  • Must have strong software engineering discipline: code reviews, testing, logging/observability.
  • Must be proficient in experiment design, statistical analysis, and scientific communication.
  • Must have a strong understanding of security/privacy best practices for visual data (PII/PHI as applicable).
  • Must be a U.S. citizen.
  • Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance, whichever is required.

Preferred Qualifications:
  • MS/PhD in Computer Science, Electrical Engineering, Physics, or related field.
  • Edge inference (NVIDIA Jetson/ARM), streaming pipelines, or multi camera systems.
  • Data labeling operations (CVAT/Label Studio), quality control, and consensus strategies.
  • Robustness to domain shift; techniques for generalization across environments/devices.
  • Weak supervision, active learning, or semi-automated data curation.
  • Interpretability (Grad CAM), calibration, and documentation (model cards, datasheets).

What We Offer:
  • Competitive salary and benefits package, including health, dental, and retirement plans.
  • Flexible work schedules and paid time off to promote a healthy work-life balance.
  • Professional development opportunities, including mentorship programs and sponsorship for continuing education.
  • An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
  • The chance to be part of a mission-driven organization making a positive impact on the future of energy.
  • Opportunities for continuous learning and training to grow throughout your career!

Pay: $76,000.00 - $119,000.00
The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $76,000.00 and $119,000.00 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,' unless employed at a location and in a position subject to a collective bargaining agreement. The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.
As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.
All candidates must be U.S. citizens. Selected applicants are required to successfully complete a pre-employment check and drug screening. In addition, the position may require the ability to obtain and maintain applicable federal eligibility requirements for access to classified/sensitive information or matter which involves an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.
BWXT is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, sex, national origin, citizenship, age, disability, protected veteran or other protected status.
BWX Technologies, Inc. and its affiliates and subsidiaries (BWXT) is not responsible for and does not accept any liability for fees or other costs associated with resumes or candidates presented by recruiters or employment agencies, unless a binding, written recruitment agreement between BWXT and the recruiter or agency exists prior to the presentation of candidates or resumes to BWXT and includes the specific services, job openings, and fees to be paid ("Agreement"). BWXT may consider any candidate for whom a recruiter or agency has submitted an unsolicited resume and explicitly reserves the right to hire such candidate(s) without any financial obligation to the recruiter or agency unless an Agreement is in place prior to presentation and such Agreement explicitly encompasses the job opening for which such fees or costs are sought. An email, verbal or other informal contact with any person within BWXT will not create a binding agreement. Agencies or recruiters without an Agreement are directed not to contact any hiring managers of BWXT with recruiting inquiries or resumes. Recruiters and agencies interested in partnering with BWXT may contact BWXT's Talent Acquisition team at talent_acquisition@bwxt.com.

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