Senior Staff Machine Learning Engineer - Agentic Systems

Job description

Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform. Generative AI is reshaping how we build products and systems. As part of this shift, we’re creating a shared Agent Engine that powers agent-based experiences across Spotify. You’ll join a cross-functional group of engineers, researchers, and product partners working at the intersection of distributed systems, machine learning, and user experience to shape how millions of listeners interact with audio every day. What You'll Do: - Lead the technical architecture of Spotify’s Agent Engine, the shared runtime that powers agent-based experiences across the platform - Guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints - Design how internal systems can be exposed as agent capabilities, enabling seamless integration across recommendations, search, catalog, and more - Build and improve evaluation systems that help teams measure quality, reliability, and user impact...