Machine Learning Engineering Manager - Surfaces Music

Spotify Spotify · Consumer · New York, NY · Personalization

Machine Learning Engineering Manager for Spotify's Surfaces Music team, focusing on building and scaling systems for music recommendations across key experiences like Home and Now Playing. The role involves candidate generation, ranking, and embedding models, with a focus on transformer-based personalization for millions of listeners.

What you'd actually do

  1. Manage and grow a team of machine learning engineers focused on music recommendation systems.
  2. Drive the technical strategy and execution for personalization features across Spotify's core listening experiences.
  3. Collaborate with cross-functional teams (Personalization, Experience, Music) to evolve music discovery.
  4. Oversee the development and deployment of candidate generation, ranking, and embedding models.
  5. Shape the next generation of personalization using transformer-based models.

Skills

Required

  • Experience managing and growing ML engineering teams.
  • Strong understanding of machine learning principles and applications in recommendation systems.
  • Experience with large-scale ML systems and production deployment.
  • Familiarity with transformer-based models and deep learning frameworks.
  • Excellent collaboration and communication skills.

Nice to have

  • Experience with A/B testing and experimentation.
  • Knowledge of music or audio domains.
  • Experience with cloud ML platforms.

What the JD emphasized

  • transformer-based models
  • music recommendations
  • candidate generation
  • ranking
  • embedding models

Other signals

  • recommendation systems
  • personalization
  • transformer models
  • candidate generation
  • ranking