Machine Learning Engineer, Personalization, Samba

Job description

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
This is an excerpt. Read the full job description on Spotify careers →