Machine Learning Engineer, GenRecs, Personalization
Spotify
Experienced ML practitioner with a strong background in machine learning, natural language processing, and generative AI, capable of implementing end-to-end production ML systems.
Spotify
Full Time
Remote • New York, New York, United States
176.2k - 251.7k per year
The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks 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 all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.
Where You’ll Be (choose what is best based on the role / team!)We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.This team operates within the Eastern Standard time zone for collaboration.
Spotify
Experienced ML practitioner with a strong background in machine learning, natural language processing, and generative AI, capable of implementing end-to-end production ML systems.
Spotify
Strong background in machine learning, natural language processing, and generative AI; hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala.
Spotify
5+ years of relevant work experience in web and mobile app performance tracking roles. Proficient with SQL and experience with analytics tools.
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