Senior Machine Learning Engineer - Personalization
Build music recommendation models for Spotify's most visible surfaces
Develop and optimize machine learning models for music recommendations across Spotify's Home and Now Playing experiences, including embedding models and generative personalization models.
Why This Role?
Work on models that impact hundreds of millions of users daily
Required Skills
Keywords
View Original Description from Lever Postings
Original description from Lever Postings
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people use the products we build, including destinations like Home and Search, original playlists like Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists. The Surfaces Music team is responsible for music recommendations across Spotify's most visible surfaces, including Home and the Now Playing experience. We own music shelf and candidate generation as well as the ranking models that power these experiences. Our models include embedding models for deep catalog discovery, new release recommendations, and a unified transformer-based generative personalization model that is poised to reshape how we deliver personalized experiences across Spotify.