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Computer Vision Engineer Intern Jobs in College Park, MD

Ambarella

Software Engineer Intern

Washington, DC · On-site

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test ... advanced computer vision algorithms to tomorrow's intelligent video products. Our target ...

New

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 ...

AIToolboard

Computer Vision Software Engineers

Mclean, VA · On-site

$95 - $120/hr

/Computer Vision Software Engineers# Computer Vision Software Engineers00100 LEIDOS, INC.McLean ... To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our ...

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Computer Vision Engineer Intern information

See College Park, MD salary details

$13

$25

$38

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

As of Aug 20, 2026, the average hourly pay for computer vision engineer intern in College Park, MD is $25.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.51 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.

What are popular job titles related to Computer Vision Engineer Intern jobs in College Park, MD?

For Computer Vision Engineer Intern jobs in College Park, MD, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer Intern jobs in College Park, MD look for?

The top searched job categories for Computer Vision Engineer Intern jobs in College Park, MD are:

Computer Vision Engineer Intern jobs near you
Infographic showing various Computer Vision Engineer Intern job openings in College Park, MD as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $52,259 per year, or $25.1 per hour.

Cleared Computer Vision Scientist

Accenture Federal Services

Washington, DC • On-site

Full-time

Re-posted 16 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 494 rated business services

Job description

The work: 

  • Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc. 
  • Deploy, maintain, and optimize ML models and data processes in a production environment 
  • Develop custom Computer Vision (CV) algorithms that translate into mission value 
  • Create tools to provide feedback from production ML models and data processes 
  • Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow). 
  • Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
  • Stay up to date with the latest research and advancements in the field of computer vision and deep learning
  • Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
  • Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
  • Assist in the integration of computer vision algorithms into production systems and applications 
  • Document code, methodologies, and experimental results

Here's what you need: 

  • Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Proficiency with programming languages such as Python, C/C++ or Rust 
  • Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively in a team environment and take direction from senior team members
  • Hands-on experience with developing computer vision models at scale from inception to business impact 
  • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches 
  • U.S. Citizenship (No Dual citizenship)

Bonus points if you have: 

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
  • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
  • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
  • Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
  • Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar) 

Security Clearance: 

  • Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

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