The Personalization team at Spotify aims to make content discovery effortless and enjoyable for every listener. By deeply understanding music, podcasts, audiobooks, and videos, we deliver exceptional recommendations that keep millions of people worldwide engaged with our products daily. Our work spans experiences like Home, Search, curated playlists such as Discover Weekly and Daylist, and cutting-edge innovations including AI DJ and AI Playlists. Home plays a pivotal role in shaping the technical vision and architecture of recommendation systems that power the Spotify Home page. You’ll work on foundational components that enable the larger Home experience, user activation, listening habits across content types, and expanding its technology to take advantage of LLMs and other Generative Recommender products. As a Staff Machine Learning Engineer in Home, you’ll focus on recommender systems modeling at the intersection of generative recommenders and a foundational understanding of user taste across music and talk content. You will define and execute the ML technical strategy for Home, building the next generation of Spotify’s recommendation systems, user representations, and supporting technical architecture. Join us and you’ll help millions of users discover and connect with the world’s audio content every day.