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Lead Staff Machine Learning Engineer, Agent Engine
Lead Staff Machine Learning Engineer, Agent Engine
As a Lead Staff Machine Learning Engineer, you will lead the technical architecture of Spotify’s Agent Engine, a shared runtime powering agent-based experiences. You will guide the transition of existing features into a unified system and design how internal systems can be exposed as agent capabilities.
About the role
About the Role
Spotify is seeking a Lead Staff Machine Learning Engineer to lead the technical architecture of its Agent Engine, a shared runtime for agent-based experiences across the platform.
Responsibilities
- 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 with confidence
- Partner with research and machine learning teams to define what belongs in system design versus model capabilities
- Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale
- Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization
- Contribute to technical standards that help teams move faster while maintaining security and reliability
- Stay connected to advances in the AI and machine learning community, and apply relevant ideas to Spotify’s products
Skills
AiMachine LearningML