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Spotify

Machine Learning Engineer - Artist-First AI Music Lab

New York, NY (Remote)permanentmidAdded today

About this role

Join an artist-focused AI music lab to develop cutting-edge generative music technologies that prioritize creator rights, fair compensation, and authentic fan-artist connections. You'll build ML systems that enhance rather than replace human artistry while collaborating with major music industry partners.

What you'll do

  • Design and implement generative ML models for music creation and audio processing
  • Collaborate with music industry partners to integrate artist-first principles into product development
  • Develop systems ensuring fair compensation tracking and transparent artist attribution
  • Build scalable infrastructure for music AI features serving 700M+ monthly listeners
  • Research and prototype new listening experiences centered on artist-fan engagement
  • Ensure ethical AI practices aligned with artist choice and participation frameworks

What they're looking for

  • Machine learning model development (generative models, audio processing)
  • Python and deep learning frameworks (PyTorch, TensorFlow)
  • Audio DSP and music information retrieval
  • Scalable systems design and cloud infrastructure
  • Data pipeline engineering and MLOps
  • Cross-functional collaboration and communication
  • Understanding of music industry and creator economics
  • Ethics and responsible AI practices
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Spotify

Spotify builds music and podcast streaming technology alongside advertising and creator promotion systems at scale. The company is hiring Full Stack Engineers, Machine Learning Engineers, Frontend Engineers, and Backend Engineers to work on its Ads API, music promotion ML systems, podcast infrastructure, and rights management platforms.

View all jobs at Spotify

Likely interview questions

  • What experience do you have building generative models for audio or music, and what were the results?
  • How would you approach designing an ML system that respects artist consent and attribution requirements?