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Senior Computer Vision Engineer Jobs in Virginia

Kitware

AI Researcher

Arlington, VA · On-site

$155K - $215K/yr

We seek to advance AI, computer vision, and other related fields through research and development ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with academic ...

Kitware

AI Researcher

Arlington, VA

$155K - $215K/yr

We seek to advance AI, computer vision, and other related fields through research and development ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with academic ...

Kitware

AI Researcher

Arlington, VA · On-site

$155K - $215K/yr

We seek to advance AI, computer vision, and other related fields through research and development ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with academic ...

Revel IT

Senior Computer Engineer | 1063264

Chantilly, VA · On-site

$107K - $146K/yr

Currently seeking candidates for a full-time position as a Senior Computer Engineer. This position will provide support at a client facility in the Chantilly, VA area. Aids in the design and ...

TekSynap

Senior Computer Operator

Fort Belvoir, VA · On-site

We are seeking a Senior Computer Operator to join our team supporting DLA Enterprise Service ... We offer our full-time employees a competitive benefits package to include health, dental, vision ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Leidos

Senior Computer Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

As the Senior System Engineer, you will perform and manage the full spectrum of systems engineering ... * BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent ...

Leidos

Senior Computer Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

As the Senior System Engineer, you will perform and manage the full spectrum of systems engineering ... * BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Leidos

Senior Computer Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

As a Senior Systems Engineer you will lead an application team responsible for maintaining the ... Computer Science, Systems Engineering, or related field and 12 - 15 years of prior relevant ...

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Senior Computer Vision Engineer information

See Virginia salary details

$59K

$125.5K

$181.9K

How much do senior computer vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for senior computer vision engineer in Virginia is $125,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

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

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the most commonly searched types of Computer Vision Engineer jobs in Virginia?

The most popular types of Computer Vision Engineer jobs in Virginia are:

What are popular job titles related to Senior Computer Vision Engineer jobs in Virginia?

For Senior Computer Vision Engineer jobs in Virginia, the most frequently searched job titles are:

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

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

What cities in Virginia are hiring for Senior Computer Vision Engineer jobs?

Cities in Virginia with the most Senior Computer Vision Engineer job openings:

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer 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 $125,471 per year, or $60.3 per hour.

Machine Learning Engineer - Computer Vision

Arlington, VA

CaseGuard
Software Development • 11 - 50 employees
Learn more about CaseGuardexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges.

Key Responsibilities:

  • Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
  • Optimize and fine-tune deep learning algorithms for real-time performance.
  • Work closely with the software engineers and product teams to identify opportunities for leveraging data.
  • Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
  • Evaluate and optimize machine learning models for accuracy, performance, and scalability.
  • Deploy models into production environments and monitor their performance to ensure reliability.
  • Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
  • Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
  • Document processes, models, and implementations to ensure reproducibility and scalability.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
  • Experience with data manipulation tools such as Pandas, NumPy, and SQL.
  • Strong programming skills in Python and C++.
  • Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
  • Proficiency in working with image and video data, including preprocessing and augmentation techniques.
  • Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
  • Strong communication skills and the ability to work collaboratively in a team environment.

Great to have:

  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with version control systems such as Git.
  • Understanding software engineering best practices, including code review, testing, and documentation.
  • Experience with Large Language Models (LLMs) is a great plus.
  • Experience with data annotation tools and processes.

Benefits:

  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment
About CaseGuard

CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of a kind. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies. We invest in people. We nurture skills consistent with our values and our future strategy. Our passionate pursuit of excellence, the application of our creativity to solve our clients' challenges, our technical expertise, and our collaborative spirit are measures of our success.

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