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Computer Science Music Jobs in New York (NOW HIRING)

About you: • Bachelor's, Master's, or PhD in Statistics, Data Science, Computer Science, Applied ... Warner Music Group is also home to ADA, which supports the independent community, as well as artist ...

At Warner Music Group, we're a global collective of music makers and music lovers, tech innovators ... About you: Bachelor's, Master's, or PhD in Statistics, Data Science, Computer Science, Applied ...

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Computer Science Music information

See New York salary details

$39.9K

$71.6K

$132.9K

How much do computer science music jobs pay per year?

As of Sep 13, 2026, the average yearly pay for computer science music in New York is $71,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $76,000.00 per year, depending on experience, location, and employer.

What is a computer science music?

A Computer Science Music job blends technology and music, focusing on areas like music software development, audio signal processing, AI-generated music, and sound engineering. Professionals in this field may work on digital audio workstations (DAWs), music recommendation algorithms, or interactive sound systems. Roles can include software engineer for music applications, machine learning researcher for sound analysis, or game audio developer. This interdisciplinary field requires knowledge of programming, digital signal processing, and music theory.

What does a computer science music professional do?

Professionals in Computer Science Music often develop and test software for music production, create digital instruments, design sound algorithms, or integrate audio features into various platforms. They collaborate closely with musicians, sound designers, and other technical team members to prototype new tools or solutions. Regular responsibilities may also include debugging code, optimizing audio engines, and staying updated on advancements in digital sound technologies. Working in this field offers a blend of creative and technical tasks, making it a dynamic and rewarding environment.

What are the key skills and qualifications needed to thrive in computer science music?

To excel in Computer Science Music roles, candidates need a solid foundation in computer programming, digital audio processing, and music theory, often supported by a degree in computer science, music technology, or a similar field. Experience with digital audio workstations (DAWs), audio programming languages like Max/MSP or Pure Data, and familiarity with music software development environments are highly valuable. Creativity, strong problem-solving skills, and effective communication are key soft skills for innovating and collaborating within interdisciplinary teams. These competencies are important for successfully creating music technology tools, developing audio software, or pushing the boundaries in the intersection of music and technology.

How is computer science used in music?

Computer science in music involves developing algorithms and software for music composition, production, and analysis. It includes using digital audio workstations, programming languages like Python or Max/MSP, and machine learning techniques to create, modify, and understand musical data. These skills are essential for roles such as music technologists, audio engineers, and software developers in the music industry.

What are the most commonly searched types of Computer Science Music jobs in New York?

The most popular types of Computer Science Music jobs in New York are:

What are popular job titles related to Computer Science Music jobs in New York?

For Computer Science Music jobs in New York, the most frequently searched job titles are:

What job categories do people searching Computer Science Music jobs in New York look for?

The top searched job categories for Computer Science Music jobs in New York are:

What cities in New York are hiring for Computer Science Music jobs?

Cities in New York with the most Computer Science Music job openings:

Infographic showing various Computer Science Music job openings in New York as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $71,627 per year, or $34.4 per hour.

Senior Research Scientist - Music

Manhattan, NY • On-site

SupportFinity™
IT Services • 51 - 200 employees

$164K - $234K/yr

Other

Medical, Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Conduct research in music generation and related domains such as ML-based audio processing, music information retrieval, machine learning, and signal processing.

  • Run large-scale experiments using Spotify's infrastructure to develop practical applications of generative technologies in listening experiences.

  • Collaborate with cross-functional teams to create innovative solutions and influence Spotify's products, tools, and services.


Job description

We are seeking a Senior Research Scientist 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 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 uses 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.

For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/

What You'll Do
  • Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.
  • 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, pushing 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. degree 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 publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
  • You have strong coding skills in the following languages/libraries: Python, PyTorch, 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 learning more 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 $164,231 - $234,615 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
  • plus equity

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.

Spotify transformed music listening forever when we launched in 2008. Our 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

About the company

Spotify

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