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Internship Computer Science Music Jobs in Princeton, NJ

Meta

Computer Vision Engineer

New York, NY

$154K/yr

Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors Minimum Qualifications: * Bachelor's degree in Computer Science, Computer Engineering ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

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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.

What are the key skills and qualifications needed to thrive as an intern in Computer Science with a focus on Music, and why are they important?

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.

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 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 July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Data Science Manager, Music Recommendations

Spotify

New York, NY • On-site

$144K - $206K/yr

Other

Medical, Retirement, PTO

Posted 5 days ago

Job description

Spotify's mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world's most popular audio streaming subscription service with a community of more than 700 million users. We are looking for an extraordinary Data Science Manager to join our Content Insights group and build the next frontier of analytics to support the strategic decision making for our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences.
What You'll Do

  • Act as a key partner to leaders in Spotify's Music Vertical, with a focus on the Editorial function globally and recommendations of music content.

  • Manage a strong team of data scientists, aligning their expertise and professional growth with business needs via ongoing coaching and roadmap planning.

  • Conduct research yourself and craft compelling data storytelling to influence large investments at Spotify in the field of music recommendations

  • In particular, orient innovation at the intersection of human editorial and algorithmic recommendations in the age of AI. 

  • Upskill the data science function in your area with agentic AI, and develop the next layer of self-serve access to insights for your stakeholders 

  • Become a company-wide expert on music content and how it reaches listeners around the world.

Who You Are

  • 7+ years of relevant experience performing data analysis or data science. In particular...

    • You are highly proficient in Python and SQL

    • You are well versed in AI tools for data science and insights, such as Claude Code

    • You have an expertise in building data visualizations and dashboards (e.g. Looker Studio, Tableau or other)

    • You have experience with A/B testing and statistical modeling

  • Experience managing a team is preferred. The role is opened to first time managers who have a proven experience mentoring others, leading large collaborative projects and coordinating with senior leaders. 

  • You are a confident communicator with acute design thinking, who can simplifie complex problems and  ground creative discussions in objective data. You have experience presenting to and influencing senior leadership.

  • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable 

  • You are passionate about music. Previous experience in creative industries is a preference, but not a hard requirement if you have a deep empathy for how the music art form is created and enjoyed

Where You'll Be

This role is based in New York, New York

  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
  • We ask that you come in 2-3 times per week
The United States base range for this position is $144,715 - $206,735, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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