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Internship Computer Science Music Jobs in Princeton, NJ

New York Botanical Garden

Science Intern

New York, NY · On-site

$17/hr

... computer, and attending meetings virtually and in person with other people. Interns are required to stand, walk, sit, use hands, reach with hands and arms, and may use laboratory equipment with ...

Danaher

Software Automation Internships

Trenton, NJ · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

Edison, NJ · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

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All JobsComputer Science Music JobsInternship Computer Science Music JobsInternship Computer Science Music Jobs in Princeton, NJ

Internship Computer Science Music information

What is an internship in computer science music?

An internship in Computer Science Music is a temporary position for students or recent graduates to gain practical experience at the intersection of technology and music. Interns may work on projects involving music software development, audio engineering, digital signal processing, or creating new tools for music composition and performance. These internships provide valuable hands-on experience, exposure to real-world challenges, and opportunities to build professional networks in both the music and tech industries. Typically, interns work under the guidance of experienced professionals and may contribute to research, coding, sound design, or multimedia projects.

How do computer science music interns typically collaborate with other departments or teams during their internship?

Computer Science Music interns often work closely with both technical and creative teams, such as software developers, sound engineers, and musicians. Collaboration usually involves participating in cross-functional meetings, contributing code to music-related software projects, and assisting with the integration of new audio technologies. This environment offers interns valuable exposure to both the technical and artistic aspects of music production, enhancing their communication and teamwork skills. Such collaboration is essential for developing innovative music tools and applications, and interns are encouraged to actively share ideas and seek feedback from diverse team members.

What are the key skills and qualifications needed to thrive as an intern in computer science with a focus on music?

To succeed as a Computer Science Music intern, a solid grasp of programming languages (such as Python or C++), basic music theory, and coursework in computer science or music technology is generally required. Familiarity with digital audio workstations (DAWs), music programming environments (like Max/MSP or Pure Data), and version control systems is highly beneficial. Creativity, problem-solving, and effective communication are crucial soft skills for collaborating on interdisciplinary projects and adapting quickly to new challenges. These competencies enable interns to contribute meaningfully to innovative music technology projects and bridge the gap between technical and artistic domains.

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

AspectInternship Computer Science MusicSoftware Developer
Required CredentialsTypically pursuing or completed a degree in Computer Science, Music, or related fieldsBachelor's or higher in Computer Science or Software Engineering
Work EnvironmentMusic tech companies, educational institutions, or media organizationsTech firms, startups, or corporate IT departments
Industry UsageUsed for gaining experience in music software, audio programming, or multimedia projectsDeveloping applications, websites, or software solutions

In summary, Internship Computer Science Music focuses on gaining experience at the intersection of music and technology, often involving audio programming or multimedia projects. Software Developer roles are broader, emphasizing software creation across various industries. Both require programming skills but differ in industry focus and work environment.

What are popular job titles related to Internship Computer Science Music jobs in Princeton, NJ?

For Internship Computer Science Music jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Internship Computer Science Music jobs in Princeton, NJ look for?

The top searched job categories for Internship Computer Science Music jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Internship Computer Science Music jobs?

Cities near Princeton, NJ with the most Internship Computer Science Music job openings:

Internship Computer Science Music jobs near you
Infographic showing various Internship Computer Science Music job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group, LLP

New York, NY • On-site

$8.6K/wk

Full-time, Temporary, Internship

Re-posted 22 days ago

Job description

Overview
As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.
Opportunities as a quantitative research intern will be available in our Philadelphia and New York offices.
PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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