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.
Samba sits at the heart of Spotify’s personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems—balancing what users love with how Spotify supports creators and the business.
Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.
What You'll Do
Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
Work across ML, backend, and data layers to bring models into production
Contribute to scalable infrastructure supporting high-volume user interactions
Run experiments and use insights to continuously improve performance
Help shape technical direction and raise the bar for engineering excellence within the team
Who You Are
You have 5+ years of experience in machine learning, data, or backend engineering
You are experienced with production-grade systems and scalable architectures
You have worked on recommendation systems, ranking, or optimization problems
You bring a T-shaped skillset across ML, data, and backend domains
You are comfortable navigating ambiguity and solving complex problems
You care about user experience and measurable impact
You enjoy collaborating across disciplines and geographies
Where You'll Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
