Machine Learning Engineer, Personalization

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. They seek to understand the world of music, podcasts, and audiobooks better than anyone else so that they can make great recommendations to every individual person and keep the world listening. Every day, hundreds of millions of people all over the world use the products they build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.” Personalization’s Hulk squad produces Human Understandable Language Knowledge to enrich talk content understanding. They use Large Language Models to understand podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. As a Machine Learning Engineer, you'll utilize in-house and 3rd party LLMs to solve language understanding problems, employ techniques such as fine-tuning and RAG to improve models, and contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development. You'll also help drive optimization, testing, and tooling to improve quality of content enrichment assets, collaborate with cross-functional teams, and architect, design, develop, and deploy ML models that will serve podcast recommendations.