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Remote Computer Science Music Jobs in Virginia (NOW HIRING)

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 ...

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 ...

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... Computer Science, Information Technology, or a related discipline (or equivalent experience) • 8+ years experience in data engineering development • 5+ years experience working in object oriented ...

ICAM Data Scientist

Mclean, VA · On-site +1

$77K - $176K/yr

Bachelor's degree in Data Science, Computer Science, or Statistics Nice If You Have: * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Showing results 41-60

Remote Computer Science Music information

What is a remote computer science music?

A Remote Computer Science Music job involves working at the intersection of music and computer science, typically from a location outside a traditional office. Professionals in this field might develop music software, create algorithms for music composition, analyze audio data, or build music recommendation systems. These jobs leverage programming, sound engineering, and machine learning skills to solve problems or create new experiences in the music industry. Working remotely allows individuals to collaborate with teams and clients from anywhere, using digital tools and platforms. This role is ideal for those passionate about both technology and music.

How do remote computer science professionals in music typically collaborate with composers, producers, and other team members?

Remote computer science professionals working in the music industry often rely on digital collaboration tools such as version control systems, cloud-based DAWs, and project management platforms to communicate and coordinate with composers, producers, and sound engineers. Regular virtual meetings and shared workspaces help ensure alignment on project goals, technical requirements, and creative direction. While asynchronous communication is common, establishing clear documentation and feedback channels is key to maintaining workflow efficiency and fostering a productive team environment.

What are the key skills and qualifications needed to thrive as a remote computer science music specialist, and why are they important?

To thrive as a Remote Computer Science Music Specialist, you need a solid background in computer science fundamentals, music theory, and digital audio production, often supported by a relevant degree or portfolio. Familiarity with programming languages (such as Python, C++, or Max/MSP), digital audio workstations (DAWs) like Ableton Live, and music technology tools is typically required. Creativity, strong communication, and the ability to collaborate virtually are standout soft skills for this role. These skills enable the integration of technology and music, fostering innovation and effective remote teamwork in a rapidly evolving field.

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

AspectRemote Computer Science MusicRemote Software Developer
Required CredentialsBachelor's in Computer Science or Music, coding certifications, music production skillsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentHome office, music studios, online collaboration platformsHome office, tech companies, online coding environments
Employer & Industry UsageMusic tech companies, educational platforms, multimedia firmsTech firms, startups, software development agencies
Common Search & Comparison IntentUnderstanding roles combining music and computer scienceComparing software development roles with similar skills

Remote Computer Science Music combines expertise in computer science with music production or technology, often in creative or multimedia industries. Remote Software Developer focuses solely on coding and software creation across various industries. While both roles require programming skills, Remote Computer Science Music emphasizes a blend of technical and artistic skills, whereas Remote Software Developer centers on software development tasks.

Can I work remotely with a computer science music degree?

Remote work opportunities for those with a computer science music degree are available in fields such as software development, digital audio workstations, and multimedia programming. Skills in programming languages, audio software, and remote collaboration tools are often required to succeed in remote roles in this area.

How is remote computer science used in music?

Remote computer science professionals in music develop software for digital audio workstations, music production, and sound analysis. They often work with programming languages like Python or C++ and utilize tools such as MIDI interfaces and audio processing libraries to create or improve music technology applications.

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

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

Infographic showing various Remote Computer Science Music job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Junior/Middle Computer Vision Engineer ID72410

Blacksburg, VA • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees

Full-time

Posted 21 days ago


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 Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
- Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
- Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
- Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
- Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
- Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.

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;
- 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
- Degree in Computer Science, Data Science, Engineering, 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);
- Foundational coding skills in Python;
- Foundational understanding of machine learning concepts and workflows;
- Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
- Basic familiarity with cloud environments and compute resources;
- A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
- Excellent attention to detail, specifically regarding data quality and documentation;
- 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.