Senior Machine Learning Engineer, Personalization, Magenta

The Personalization team makes deciding what to play next easier and more enjoyable for every listener.

From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features.

We built them by understanding the world of music and podcasts better than anyone else.

Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences.

We’re now building conversational AI capabilities that let users interact with Spotify in natural language.

You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener.

From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features.

We built them by understanding the world of music and podcasts better than anyone else.

Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences.

We’re now building conversational AI capabilities that let users interact with Spotify in natural language.

You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems.

• Design and ship production-grade machine learning systems powering conversational and agentic AI experiences
• Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale
• Develop and evolve agentic workflows including memory, context management, and multi-step tool orchestration
• Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration
• Partner closely with product, engineering, and design to deliver seamless, user-facing experiences
• Balance experimentation with production rigor, ensuring performance, latency, and reliability at Spotify scale
• Continuously improve agent behavior through tight feedback loops between evaluation and real-world usage