hirly

Spotify

Staff Machine Learning Engineer, Home Surfaces

New York, NY · Boston, MA

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hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Country
US
Work mode
Remote-friendly
First seen by hirly
20 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 Surfaces Podcasts team owns podcast recommendations across some of Spotify’s most visible surfaces, including Home and the Now Playing view. We build and improve the recommendation systems that help listeners discover their next favorite show or episode while helping creators reach the right audiences.

As a Staff Machine Learning Engineer, you’ll help shape the future of personalized discovery and engagement at Spotify. You’ll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences for listeners at global scale. You’ll take models from research to production, help set technical direction in ambiguous problem spaces, and solve complex personalization challenges across Spotify.

Original posting on Spotify's site ↗

Listed on hirly, a job board. hirly is not the employer: Spotify is hiring for this role.

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