Machine Learning Engineer, GenRecs, Personalization

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener and seeks to understand the world of music, podcasts and audiobooks better than anyone else. Every day, hundreds of millions of people all over the world use the products which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. As a Machine Learning Engineer, your responsibilities include designing, building, evaluating, and shipping ML solutions in Spotify’s personalization products and collaborating with cross functional teams to build new product features that advance our mission to connect artists and fans. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users. Promote and role-model best practices of ML systems development throughout the organization and be part of an active group of machine learning practitioners. The ideal candidate is an experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment with a strong background in machine learning, natural language processing, and generative AI. Experience with Pytorch and/or TensorFlow is a strong plus and hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala is required.