Machine Learning Engineering Manager, Recommendations
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The role
Shape the end-to-end recommendations vision, strategy, and technical direction.
Collaborate with product, engineering, and research to evolve the music discovery experience.
Lead building a full recommendations system from prototyping and evaluation to experimentation and production deployment.
Own scalable, data-driven personalization across millions of users and ensure high-quality, explainable recommendations.
Hire, mentor, and grow a high-impact recommendations team.
Define ML experimentation, MLOps practices, and performance monitoring to ship iteratively at scale.
Collaborate with product, engineering, and research to evolve the music discovery experience.
Lead building a full recommendations system from prototyping and evaluation to experimentation and production deployment.
Own scalable, data-driven personalization across millions of users and ensure high-quality, explainable recommendations.
Hire, mentor, and grow a high-impact recommendations team.
Define ML experimentation, MLOps practices, and performance monitoring to ship iteratively at scale.
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