We are looking for an Engineering Manager to lead the Research Engineering team in our Artist-First AI Music Lab. In this role, you will be a key driver of technical excellence, infrastructure, and deployment of state-of-the-art machine learning models. You will manage a team of research engineers working at the intersection of deep learning research and large-scale software engineering. You will own the engineering roadmap, ensuring our research codebases support rapid experimentation, our training pipelines are efficient and reproducible, and our breakthroughs successfully transition from experimental prototypes into production features used by hundreds of millions of listeners.Our lab pioneers and advances state-of-the-art generative technologies for music to create new experiences for fans and artists. We build entirely new ways of listening that center and celebrate artists and creatives. Our work is guided by four core principles:

Partnerships with record labels, distributors, and music publishers: we develop new products through upfront collaboration
Choice in participation: artists and rightsholders decide if and how they engage with generative AI tools
Fair compensation and new revenue: we create new revenue streams while ensuring proper credit and compensation
Artist-fan connection: our tools are designed to support creativity and deepen the relationship between artists and fans

For more information, see this press release: https://newsroom.spotify.com/[contact via apply link]/artist-first-ai-music-spotify-collaboration/

Machine Learning Engineering Manager - Music

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