1

Computer Vision Intern Jobs in Virginia Beach, VA

... have Forward Vision and: * Solid technical accounting knowledge * Effective time management ... Strong computer skills preferred, including Microsoft Office suite * Ability to work well with a ...

... have Forward Vision and: * Solid technical accounting knowledge * Effective time management ... Strong computer skills preferred, including Microsoft Office suite * Ability to work well with a ...

Pharmacy Intern

Virginia Beach, VA · On-site

$20 - $23.75/hr

Close visual acuity to perform activities such as: transcribing, viewing a computer terminal ... Depending on hours worked and eligibility, the benefits for this position include dental, vision ...

Pharmacy Intern

Hampton, VA · On-site

$20 - $23.75/hr

Close visual acuity to perform activities such as: transcribing, viewing a computer terminal ... Depending on hours worked and eligibility, the benefits for this position include dental, vision ...

Close visual acuity to perform activities such as: transcribing, viewing a computer terminal ... Depending on hours worked and eligibility, the benefits for this position include dental, vision ...

next page

Showing results 1-20

Computer Vision Intern information

See Virginia Beach, VA salary details

$19.2K

$89.3K

$180K

How much do computer vision intern jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computer vision intern in Virginia Beach, VA is $89,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,426.00 and $133,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the computer vision intern position, and why are they important?

To thrive as a Computer Vision Intern, you need a solid understanding of image processing, machine learning, and programming languages like Python or C++, typically supported by coursework in computer science or related fields. Familiarity with libraries such as OpenCV, TensorFlow, or PyTorch, and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving abilities, teamwork, and effective communication skills will help you succeed in collaborative environments. These competencies are crucial for developing innovative computer vision applications, effectively contributing to project goals, and learning from experienced colleagues.

What is a computer vision intern?

A Computer Vision Intern is a student or entry-level professional who assists in developing and implementing computer vision algorithms. Their work typically involves image processing, machine learning, and deep learning techniques to analyze visual data. Interns may contribute to data collection, model training, and fine-tuning neural networks. They often work with programming languages like Python and frameworks such as OpenCV, TensorFlow, or PyTorch. This role provides hands-on experience in applying AI to real-world visual tasks like object detection, image recognition, and video analysis.

What are some typical projects or tasks a computer vision intern might work on?

As a Computer Vision Intern, you may assist in developing algorithms for object detection, image segmentation, or pattern recognition, often working with large datasets to train and test models. Tasks can include data annotation, preprocessing images, building and fine-tuning neural networks, and evaluating model performance. Interns often collaborate closely with software engineers, data scientists, and senior researchers to solve real-world problems and enhance the company's technology stack. This hands-on experience provides valuable exposure to industry-standard tools and methodologies, laying a strong foundation for future roles in AI and computer vision.

What are the most commonly searched types of Computer Vision jobs in Virginia Beach, VA?

The most popular types of Computer Vision jobs in Virginia Beach, VA are:

What are popular job titles related to Computer Vision Intern jobs in Virginia Beach, VA?

For Computer Vision Intern jobs in Virginia Beach, VA, the most frequently searched job titles are:

What cities near Virginia Beach, VA are hiring for Computer Vision Intern jobs?

Cities near Virginia Beach, VA with the most Computer Vision Intern job openings:

Computer Science/Engineering Intern - Computer Vision Applications

Analytical Mechanics Associates

Hampton, VA • On-site, Remote

$23.10 - $33.50/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

Job Description:

AMA is currently accepting applications for a Computer Science/Engineering intern to support work in our Hampton, VA location. The qualified candidate will work to apply the latest advancements in computer vision, including convolutional neural network (CNNs) and vision transformers (ViTs), to improve degraded imagery/video feeds during lunar landing due to plume surface interaction (PSI) effects.

This internship begins September 8, 2026, and concludes December 18, 2026.

Pay for this position is $23.10 - $33.50, depending on education and location. Remote work is available.

Responsibilities:

  • The intern will apply computer vision, including convolutional neural network (CNNs) and vision transformers (ViTs), to improve degraded imagery/video feeds during lunar landing due to plume surface interaction effects
  • Iterate designs based on feedback from the engineering team (GN&C, mechanical, flight test, etc.).
  • Produce engineering drawings and configuration-controlled CAD packages suitable for internal design reviews.
  • Develop reports, presentations, and other documentation, providing clear comments and guidance
  • Attend meetings, teleconferences, and workshops as needed

Requirements:

  • Progress toward a degree (undergraduate or graduate) in technical areas of relevance (Physics, computer science, or Engineering)
  • Working knowledge and application of CNNs/ViTs to image dehazing using PyTorch.
  • Working knowledge of PSI scattering physics
  • Programming experience in C/C++, Python, Julia
  • Presentation skills, including creating and sharing PowerPoint presentations clearly exhibiting the design requirements, layout, and plan forward.
  • Excellent written and verbal communication skills are required, able to articulate design choices to a team of engineers and project management personnel and create clear assembly instructions.
  • Available to work at NASA Langley Research Facility in Hampton, Virginia or remotely.
  • Due to ITAR/EAR restrictions, US citizenship or permanent US residency is required.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.


AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.