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Remote Computer Science Undergraduate Jobs in Virginia

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... Job Specific Requirements: -Bachelor's degree in data science, statistics, mathematics, computer ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

ManTech

Senior Data Scientist

Arlington, VA · On-site +1

This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will ... Bachelor of Science degree in a relevant field such as statistics, computer science, economics ...

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Showing results 21-40

All JobsComputer Science Undergraduate JobsRemote Computer Science Undergraduate JobsRemote Computer Science Undergraduate Jobs in Virginia

Remote Computer Science Undergraduate information

What is the difference between Remote Computer Science Undergraduate vs Remote Software Developer?

AspectRemote Computer Science UndergraduateRemote Software Developer
Required CredentialsCurrently pursuing or recently completed CS degreeTypically requires a degree or equivalent experience in software development
Work EnvironmentInternship, entry-level projects, academic settingsFull-time or freelance projects, development teams
Employer & Industry UsageUniversities, research labs, tech startupsTech companies, software firms, startups
Search & Comparison IntentLearning opportunities, internships, entry rolesJob opportunities, project work, career advancement

Remote Computer Science Undergraduates often seek internships or entry-level roles to gain experience, while Remote Software Developers focus on building and maintaining software products. Both roles require programming knowledge, but the level of experience and responsibilities differ.

What are the most commonly searched types of Computer Science Undergraduate jobs in Virginia?

The most popular types of Computer Science Undergraduate jobs in Virginia are:

What are popular job titles related to Remote Computer Science Undergraduate jobs in Virginia?

For Remote Computer Science Undergraduate jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Undergraduate jobs in Virginia look for?

The top searched job categories for Remote Computer Science Undergraduate jobs in Virginia are:

What cities in Virginia are hiring for Remote Computer Science Undergraduate jobs?

Cities in Virginia with the most Remote Computer Science Undergraduate job openings:

Remote Computer Science Undergraduate jobs near you
Infographic showing various Remote Computer Science Undergraduate job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior Computer Vision Engineer ID72408

AgileEngine

Richmond, VA • On-site, Remote

$102K - $140K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases.

  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.

  • Evaluate, fine-tune, and analyze model architectures, and build models for forecasting and anomaly detection.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.