Machine Learning Engineering Manager - Personalization
Spotify's Personalization team seeks a Machine Learning Engineering Manager to lead the Safe-and-Sound team, building scalable ML systems for safety and responsible AI across core surfaces and generative AI experiences.
Responsibilities
- Lead and manage a team of machine learning engineers building safety systems for Spotify's personalization features
- Develop scalable ML systems for synthetic data, fairness, and responsible AI
- Collaborate with cross-functional teams including Tech Research, Trust & Safety, and Content Platform
- Drive the development of safe and responsible recommendations across Home, Search, and generative AI experiences
About the role
Mission Statement The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
About the Team Safe-and-Sound is the centralized Safety team within the AI Foundations Studio in Personalization. We build machine learning systems that help ensure Spotify experiences and recommendations are safe, responsible, and enjoyable across core surfaces like Home, Search, as well as newer generative AI experiences.
We partner closely with Tech Research, Trust & Safety, and Content Platform to develop new approaches in areas like synthetic data, fairness, and responsible AI. Our focus is on building scalable, high-impact systems that support both today’s products and the next generation of AI-driven experiences.
About spotify
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