Machine Learning Engineering Manager, Personalization

Spotify Spotify · Consumer · New York, NY +1 · Personalization

Engineering Manager for a Personalization team focused on training and improving ML models for recommendations (Radio, Daily Mix). The role involves shaping the future of generative recommendations using LLMs, including fine-tuning, and leading a team of ML, backend, and data engineers.

What you'd actually do

  1. lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership
  2. helping the team deliver innovative ML capabilities that reach millions of listeners every day
  3. training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix
  4. helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models
  5. fine-tuning models to improve the quality, relevance, and personalization of our playlists

Skills

Required

  • Machine Learning
  • Backend Engineering
  • Data Engineering
  • People Leadership
  • Technical Direction

Nice to have

  • Generative Recommendations
  • Large Language Models
  • LLM Fine-tuning

What the JD emphasized

  • training and improving the machine learning models
  • fine-tuning models

Other signals

  • improving machine learning models
  • training models
  • generative recommendations
  • fine-tuning models
  • leading a team of ML engineers