Research Scientist - Music

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

Research Scientist role focused on generative AI for music, involving research in music generation, audio processing, and related ML domains. The role will run large-scale experiments, create practical applications, and publish research findings. It requires a PhD and experience in generative modeling, ML, and audio processing, with strong coding skills in Python and PyTorch.

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

  • Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field
  • generative modeling
  • machine learning
  • music information retrieval
  • speech processing
  • audio processing
  • signal processing
  • probabilistic modeling
  • computer vision
  • Python
  • PyTorch
  • NumPy

Nice to have

  • Previous industry experience

What the JD emphasized

  • ground breaking research
  • large-scale experiments
  • practical applications
  • publishing your findings

Other signals

  • state-of-the-art generative technologies for music
  • large-scale experiments
  • practical applications that harness generative technologies
  • publishing your findings