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Computer Vision Jobs in Virginia (NOW HIRING)

Navstar

Machine Learning Engineer

Centreville, VA

$102K - $144K/yr

Duties * Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of ...

CRI

Video Analytics Engineer

Sterling, VA · On-site

We are looking for a Video Analytics Engineer to support development and implementation of computer vision and deep learning models to analyze video data, often focusing on object detection, tracking ...

SEACORP

Computer Technician

Norfolk, VA · On-site

$17.75 - $23.50/hr

The Computer Technician will provide technical assistance to computer system users. Answer ... Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription ...

Axon

Senior Machine Learning Engineer

Sterling, VA · On-site

$121K - $159K/yr

Work closely with computer vision / self-supervised learning engineers to integrate their models into production pipelines, including pre/post-processing, I/O, and system orchestration. * Build and ...

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All JobsComputer Vision JobsComputer Vision Jobs in Virginia

Computer Vision information

See Virginia salary details

$33.2K

$47.9K

$63K

How much do computer vision jobs pay per year?

As of Jun 12, 2026, the average yearly pay for computer vision in Virginia is $47,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,700.00 and $55,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-paying industries like technology or autonomous vehicles can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

Which 3 jobs will survive AI?

Computer Vision professionals are likely to continue in roles that require complex problem-solving, creativity, and domain expertise, such as research scientists, AI system architects, and specialized engineers. These jobs involve tasks that are difficult to fully automate, especially when combined with skills in programming, machine learning frameworks, and continuous learning. Roles that emphasize human judgment and oversight are also expected to persist despite advances in AI automation.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

Are there jobs in computer vision?

Yes, there are many jobs in computer vision, including roles such as computer vision engineer, researcher, and software developer. These positions often require skills in machine learning, deep learning, and programming languages like Python or C++, and may involve working with tools such as OpenCV or TensorFlow. Opportunities exist across industries like technology, automotive, healthcare, and robotics.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Virginia? The most popular types of Computer Vision jobs in Virginia are:
What are popular job titles related to Computer Vision jobs in Virginia? For Computer Vision jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Virginia look for? The top searched job categories for Computer Vision jobs in Virginia are:
What cities in Virginia are hiring for Computer Vision jobs? Cities in Virginia with the most Computer Vision job openings:
Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,884 per year, or $23 per hour.
Computer Vision Engineer - Senior with Security Clearance

Computer Vision Engineer - Senior with Security Clearance

Tailored Access, LLC

Springfield, VA

$109K - $150K/yr

Other

Posted 18 days ago

Job description

What Impact You'll Have: Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.

You'll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions. In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.

What You'll Be Owning: • Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition. • Collaborate with engineering teams to integrate vision capabilities into defense systems. • Optimize performance for edge devices and embedded systems.

• Complete testing and validation of computer vision systems. • Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities. • Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.

• Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications. • Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal. • Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.

• Mentor junior engineers and help define best practices for the team. • Maintain security and compliance throughout the development lifecycle. What You Must Have: • Active TS/SCI clearance with Polygraph eligibility.

• 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 fields. • Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.

• Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management. • Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers. • Familiarity with OpenCV and classical computer vision techniques.

• Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices. • Experience with machine learning utilities such as MLflow, Optuna, and DVC. What Would be Nice to Have: • Experience supporting government or defense-related programs.

• 5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation. • Knowledge of real-time video analytics, sensor fusion, or 3D perception. • Experience working within secure or classified development environments.

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