Senior Research Scientist - Music

Spotify Spotify · Consumer · London, United Kingdom +1 · Music

Senior Research Scientist to join the Artist-First AI Music lab, focusing on pioneering and advancing state-of-the-art generative technologies for music. The role involves conducting research in music generation, ML-based audio processing, and related domains, running large-scale experiments, creating practical applications, and publishing findings. The goal is to invent new listening experiences that center artists and creatives, with a focus on fair compensation, artist-fan connection, and artist choice in participation.

What you'd actually do

  1. 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.
  2. Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users.
  3. Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences.
  4. 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.
  5. Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization.

Skills

Required

  • Python
  • PyTorch
  • NumPy
  • generative modeling
  • machine learning
  • music information retrieval
  • speech processing
  • audio processing
  • signal processing
  • probabilistic modeling
  • computer vision

Nice to have

  • Previous industry experience
  • diffusion models
  • flow matching models
  • autoregressive models

What the JD emphasized

  • ground breaking research
  • generative technologies
  • ML-based audio processing
  • large-scale experiments
  • audience of more than 700 million monthly active users
  • publishing your findings
  • Ph.D. degree
  • publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related

Other signals

  • generative technologies for music
  • ML-based audio processing
  • large-scale experiments
  • audience of more than 700 million monthly active users
  • publishing your findings