Research Scientist - Music
Spotify
Research Scientist - Music
Job Description
We are seeking a 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/
Locations
- United States of America (Home Mix), United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- generative modelingintermediate
- machine learningintermediate
- music information retrievalintermediate
- speech processingintermediate
- audio processingintermediate
- signal processingintermediate
- probabilistic modelingintermediate
- computer visionintermediate
- Pythonintermediate
- PyTorchintermediate
- NumPyintermediate
- creative problem solverintermediate
- explain complex topics in simple termsintermediate
- building strong relationshipsintermediate
Required Qualifications
- You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. (experience)
- 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. (experience)
- You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related. (experience)
- You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy. (experience)
- You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. (experience)
- You are enthusiastic about learning more about turning research ideas into products operating at scale. (experience)
- You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders. (experience)
Responsibilities
- 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.
Benefits
- general: 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.
- general: This team operates within the Eastern Standard time zone for collaboration.
- general: Core working hours are CET 3pm-6pm / EST 9am-12pm.
Tags & Categories
Research Scientist - Music
Spotify
Research Scientist - Music
Job Description
We are seeking a 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/
Locations
- United States of America (Home Mix), United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- generative modelingintermediate
- machine learningintermediate
- music information retrievalintermediate
- speech processingintermediate
- audio processingintermediate
- signal processingintermediate
- probabilistic modelingintermediate
- computer visionintermediate
- Pythonintermediate
- PyTorchintermediate
- NumPyintermediate
- creative problem solverintermediate
- explain complex topics in simple termsintermediate
- building strong relationshipsintermediate
Required Qualifications
- You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. (experience)
- 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. (experience)
- You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related. (experience)
- You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy. (experience)
- You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. (experience)
- You are enthusiastic about learning more about turning research ideas into products operating at scale. (experience)
- You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders. (experience)
Responsibilities
- 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.
Benefits
- general: 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.
- general: This team operates within the Eastern Standard time zone for collaboration.
- general: Core working hours are CET 3pm-6pm / EST 9am-12pm.
Tags & Categories