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Computer Vision Engineer Intern Jobs in Hyattsville, MD

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0244633 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in Computer Vision to join our growing team for space solutions.

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0245087 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Develop er spe cia lizing in Computer Vision to join our growing team for space solutions.

Motorola

Director of Computer Vision

Washington, DC · On-site

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Hatch IT

Image & Computer Vision AI Engineer

Reston, VA

$140K - $170K/yr

About the Role As an Engineer on the Image & Computer Vision AI team , you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence ...

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All JobsComputer Vision Engineer Intern JobsComputer Vision Engineer Intern Jobs in Hyattsville, MD

Computer Vision Engineer Intern information

See Hyattsville, MD salary details

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How much do computer vision engineer intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computer vision engineer intern in Hyattsville, MD is $25.48, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $28.89 per hour, depending on experience, location, and employer.

What does a computer vision engineer intern do?

A Computer Vision Engineer Intern assists in developing and implementing algorithms that enable computers to process and interpret visual information from the world, such as images or videos. They often work on projects involving object detection, image segmentation, and other tasks related to image analysis and machine learning. Interns usually collaborate with experienced engineers, contribute to codebases, and help test and optimize models for various applications. Their work supports industries like robotics, healthcare, automotive, and more.

What types of projects and tasks can a computer vision engineer intern typically expect to work on during their internship?

As a Computer Vision Engineer Intern, you can expect to be involved in a variety of hands-on projects such as developing image recognition algorithms, annotating datasets, and testing computer vision models for accuracy and performance. Interns often collaborate closely with senior engineers and data scientists, contributing to tasks like data preprocessing, model training, and performance benchmarking. This role offers a great opportunity to gain practical experience with popular frameworks such as OpenCV and TensorFlow, and to develop skills in both research and applied development within interdisciplinary teams.

What are the key skills and qualifications needed to thrive as a computer vision engineer intern, and why are they important?

To thrive as a Computer Vision Engineer Intern, you need a solid background in computer science, mathematics, and image processing, typically supported by coursework or experience in machine learning and programming (Python, C++). Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, and experience using annotation tools or version control systems is highly valuable. Strong problem-solving, analytical thinking, and the ability to collaborate effectively help interns stand out. These skills and qualities are crucial for developing, testing, and optimizing computer vision models in a fast-paced, team-oriented environment.
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What cities near Hyattsville, MD are hiring for Computer Vision Engineer Intern jobs? Cities near Hyattsville, MD with the most Computer Vision Engineer Intern job openings:
Computer Vision Engineer Intern jobs near you

Computer Vision Engineer - R136

Expedition Technology

Herndon, VA • On-site

$114K - $135K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 hours ago

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.
Why EXP?
At EXP, you won't just build technology-you'll help shape solutions to some of the toughest challenges facing our nation. We value curiosity, ownership, and real innovation, and we're committed to creating an environment where talented engineers can make a measurable difference.

What do we offer our team?
Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Benefits include:
  • Company-paid, medical, dental and vision insurance
  • Up to 45 days of PTO
  • Up to 12% 401k contribution - Traditional and Roth options available
  • Student loan repayment assistance
  • Paid Family Leave
  • Tuition Reimbursement - $5250/year available
  • Referral bonus program
  • Free tickets to sporting events, theater, concerts and more
  • Free, onsite fitness center, onsite cafeteria with reduced-cost meals
  • A collaborative, creative and supportive culture where you will be encouraged to push boundaries, take risks and enjoy the rewards.

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.

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