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Entry Level Computer Vision Engineer Jobs in Washington, DC

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 ...

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 ...

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 ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

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'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'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 ...

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Entry Level Computer Vision Engineer information

See Washington, DC salary details

$54.9K

$137.6K

$155.7K

How much do entry level computer vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for entry level computer vision engineer in Washington, DC is $137,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $148,900.00 per year, depending on experience, location, and employer.

What does an entry level computer vision engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an entry level computer vision engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are the most commonly searched types of Computer Vision Engineer jobs in Washington, DC?

The most popular types of Computer Vision Engineer jobs in Washington, DC are:

What are popular job titles related to Entry Level Computer Vision Engineer jobs in Washington, DC?

For Entry Level Computer Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Vision Engineer jobs in Washington, DC look for?

The top searched job categories for Entry Level Computer Vision Engineer jobs in Washington, DC are:

Infographic showing various Entry Level Computer Vision Engineer job openings in Washington, DC as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $137,628 per year, or $66.2 per hour.

Computer Vision Engineer - R136

Herndon, VA • On-site

Expedition Technology
Guided Missile and Space Vehicle Manufacturing • 51 - 200 employees

$114K - $135K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Key responsibilities

  • Develop and optimize machine learning and computer vision models, including support for hyperspectral imagery and multi-modal sensor data

  • Build algorithms for detection, tracking, and data fusion across complex datasets

  • Collaborate across small, multidisciplinary teams to translate research into deployable capabilities


Job description

Are you driven to build technology that directly contributes to our nation's security-and eager to apply machine learning and computer vision to solve complex, real-world intelligence challenges?
At Expedition Technology (EXP), we're developing advanced capabilities that empower the Intelligence Community and Department of Defense to analyze, fuse, and act on critical data in ways that matter. If you're motivated by meaningful impact, technical rigor, and working on hard problems alongside highly collaborative teams, we'd love to talk.
What you'll do:
As part of our team, you'll contribute to cutting-edge efforts where we're advancing AI/ML capabilities for geospatial intelligence, multi-modal data fusion, and hyperspectral imagery analysis. This is not purely theoretical work-you'll help refine and operationalize systems that are already in use, improving performance, scalability, and real-world applicability.
In this role, you will:
  • Develop and optimize machine learning and computer vision models, including support for hyperspectral imagery and multi-modal sensor data
  • Build algorithms for detection, tracking, and data fusion across complex datasets
  • Collaborate across small, multidisciplinary teams to translate research into deployable capabilities
  • Contribute to both algorithm development and software implementation, helping turn innovative approaches into mission-ready systems
  • Support solutions deployed across cloud and low size, weight, and power (SWaP) environments
You'll have the opportunity to work across multiple programs, applying your skills where they're most impactful while growing your expertise in new domains.
Who you are:
We're looking for engineers and researchers who are excited to work on challenging national security problems and want to contribute across both research and implementation. The ideal candidate brings:
  • Experience in machine learning, computer vision, or related AI/ML fields
  • Strong foundation in algorithm development and data-driven problem solving
  • Ability and willingness to write production-quality software in support of ML systems
  • Interest in working with geospatial, sensor, or hyperspectral data (experience is a plus, but not required)
  • A collaborative mindset and desire to contribute to a team where the whole is greater than the sum of its parts

Clearance
This role requires a Top Secret (TS) clearance and the ability to obtain SCI access. Candidates without an active SCI may still be considered and supported through the process. Candidates with an active TS/SCI are preferred.

Who is Expedition Technology?

Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding, and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day.
Interested in joining our team? Let's explore together.
To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn.

Join Our Team and Enjoy Exceptional Benefits!

Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Here's a glimpse of the outstanding benefits you can enjoy when you join our team:
  • Company-paid medical, dental, and vision insurance
  • Generous Time Off: Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave
  • Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
  • Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
  • Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
  • Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth.
  • Referral Bonus Program: Earn rewards for bringing talented individuals into our team.
  • Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
  • Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
  • Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.

Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us!

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.