Machine Learning Engineering Manager, Recommendations
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The role
Lead the end-to-end development of a production-grade music recommendations system at scale.
Define vision, strategy, and technical direction for personalized discovery and engagement.
Prototype, evaluate, run experiments, and deploy models that improve recommendation quality.
Collaborate with product, engineering, and research leaders to align with platform evolution.
Build, mentor, and grow a high-performing recommendations team across ML and software engineers.
Own delivery from prototyping to production, shaping the future of music discovery.
Define vision, strategy, and technical direction for personalized discovery and engagement.
Prototype, evaluate, run experiments, and deploy models that improve recommendation quality.
Collaborate with product, engineering, and research leaders to align with platform evolution.
Build, mentor, and grow a high-performing recommendations team across ML and software engineers.
Own delivery from prototyping to production, shaping the future of music discovery.
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