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Computer Vision Engineer Intern Jobs in College Park, MD

Quidient

Senior Computer Vision Engineer

Columbia, MD

$160K - $210K/yr

Overview Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross ...

Quidient

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

Overview Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross ...

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

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in computer vision to join our growing team for space solutions. In this ...

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 Developer 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 ...

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Computer Vision Engineer Intern information

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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.

Senior Computer Vision Engineer

Quidient

Columbia, MD

$160K - $210K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Job description

Overview

Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross-product role focused on ensuring CV pipelines are robust, well-integrated, and flowing correctly across every product surface of Quidient Reality.

This is a full-time hybrid position based in Columbia, Maryland.

What You'll DoComputer Vision Pipelines
  • Own and maintain end-to-end computer vision pipelines - from image preprocessing and calibration through feature extraction, depth estimation, and segmentation - ensuring data flows correctly across the platform.
  • Diagnose and resolve pipeline failures, data quality issues, and integration bugs across CV modules, keeping reconstruction inputs clean and reliable.
  • Build monitoring, testing, and validation infrastructure around CV pipelines to catch regressions early and maintain output quality.
  • Ensure CV pipelines perform reliably across deployment targets including mobile and autonomous vehicle platforms.
Cross-Team Integration & Tooling
  • Work across product and engineering teams to integrate CV outputs into downstream systems - reconstruction, rendering, and platform services.
  • Define and maintain interfaces and data contracts between CV modules and the teams that consume them, reducing integration friction.
  • Use PyTorch and related frameworks to debug, profile, and maintain ML-based CV components in production.
  • Build tooling and scripts that accelerate development workflows across the CV stack.
  • Contribute production-quality code in C++ and Python across shared CV infrastructure.
  • Collaborate closely with SLAM, SfM, reconstruction, and platform engineering teams to keep the full pipeline healthy and shipping.
What You BringMust-Have Qualifications:
  • Master's, or PhD in Computer Science, Computer Vision, Electrical Engineering, or a related field - or equivalent demonstrated experience.
  • Hands-on experience building, maintaining, or improving computer vision pipelines in production.
  • Solid understanding of core CV concepts: camera models, feature detection/matching, depth estimation, image segmentation, and multi-view geometry.
  • Proficiency with PyTorch or a comparable ML framework, applied to computer vision problems.
  • A pipeline-first mindset - you care about data flow, error handling, testing, and operational reliability as much as algorithmic novelty.
  • Strong C++ and Python skills in a production or research codebase context.
  • Good judgment about which techniques from the literature translate to production and which do not.
  • Must be a U.S. Citizen. This position is not eligible for H-1B Sponsorship.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience in fast-paced or startup environments.
  • Experience with 3D reconstruction pipelines, including SfM, MVS, or neural scene representations (NeRF, Gaussian Splatting).
  • Exposure to mobile CV deployment (ARKit, ARCore, on-device inference) or autonomous vehicle perception stacks.
  • Experience with CI/CD, pipeline orchestration, or data validation frameworks in an ML or CV context.
  • Familiarity with SLAM, visual-inertial odometry, or sensor fusion systems.
  • Publications or open-source contributions in computer vision or 3D reconstruction (CVPR, ICCV, ECCV, or similar venues).
What We OfferCompensation:
  • Salary Range: $160,000 - $210,000
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement

Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

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