Research Scientist - Music Generation
Go ad-free with PremiumTo see similar active jobs please follow this link: Remote Development jobs
We are seeking a Research Scientist to help shape the future of music consumption on Spotify. Our team pioneers and advances state-of-the-art generative music technologies, enabling innovative personalization features, celebrating artists, and opening the door to entirely new possibilities. A core principle is ensuring that everyone involved—listeners, artists, and the industry—values our products and can opt out at any time. We develop features that enhance current offerings and lay the foundation for groundbreaking new products.
What You'll Do
Conduct cutting-edge research in music generation, 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 computing infrastructure, a catalog of over 100 million songs, and an audience of more than 600 million monthly active users.
Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in music listening experiences.
Collaborate as part of an autonomous, 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.
Experienced 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.
Publications in communities such as ICASSP, ISMIR, Interspeech, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
Strong coding skills in the following languages/libraries: Python, NumPy, PyTorch / Tensorflow.
You're a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
Enthusiastic about learning more about audio processing and music information retrieval as well as developing research ideas into products operating at scale.
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues.
Where You'll Be
You'll be based in London or Stockholm.
Research Scientist - Music Generation
To see similar active jobs please follow this link: Remote Development jobs
We are seeking a Research Scientist to help shape the future of music consumption on Spotify. Our team pioneers and advances state-of-the-art generative music technologies, enabling innovative personalization features, celebrating artists, and opening the door to entirely new possibilities. A core principle is ensuring that everyone involved—listeners, artists, and the industry—values our products and can opt out at any time. We develop features that enhance current offerings and lay the foundation for groundbreaking new products.
What You'll Do
Conduct cutting-edge research in music generation, 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 computing infrastructure, a catalog of over 100 million songs, and an audience of more than 600 million monthly active users.
Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in music listening experiences.
Collaborate as part of an autonomous, 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.
Experienced 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.
Publications in communities such as ICASSP, ISMIR, Interspeech, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
Strong coding skills in the following languages/libraries: Python, NumPy, PyTorch / Tensorflow.
You're a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
Enthusiastic about learning more about audio processing and music information retrieval as well as developing research ideas into products operating at scale.
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues.
Where You'll Be
You'll be based in London or Stockholm.