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Internship Computer Science Music Jobs in Red Bank, 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

Elizabeth, 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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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 Red Bank, NJ?

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

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

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

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

Cities near Red Bank, 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 Red Bank, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Research Scientist - Generative Audio

Spotify

New York, NY • On-site

$133K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago

Job description

We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI Music Lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

  • Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
  • Choice in participation: We recognize there's a wide range of views on the use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
  • Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for the use of their work and transparently credited for their contributions.
  • Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.

Learn more in our press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/

What You'll Do
Conduct groundbreaking research in generative audio using diffusion or flow matching models, with a focus on one or more of the following areas:
 
Vocal Synthesis - Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing.
 
Post-Training - Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence.
 
Editing - Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes.
 
You will also:
  • Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users.
  • Create practical applications that harness generative technologies and push the boundaries of what's possible in listening experiences.
  • Collaborate as part of a cross-functional team-working closely with scientists, engineers, product managers, designers, user researchers, and analysts-to craft innovative solutions to complex challenges.
  • Have a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization.
  • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.
Who You Are
  • You have a Ph.D. in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
  • You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
  • You have deep expertise in at least one of the focus areas above-whether that's vocal/speech synthesis, post-training alignment techniques (e.g., PPO, GRPO, DPO), or audio-to-audio generation and text-guided music editing.
  • You have publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues.
  • You have strong coding skills in Python, PyTorch, and NumPy.
  • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
  • You are enthusiastic about turning research ideas into products operating at scale.
  • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.
Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.
  • Core working hours are CET 3pm-6pm / EST 9am-12pm.
The United States base range for this position is $133,194 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a 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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