Staff Machine Learning Engineer, Home Surfaces
- Location
- New York, NY
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 21 days ago
Skills & highlights for this role
- machine learning
- recommendation systems
- large language models
- production ML infrastructure
About the role
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.
From Spotify's careers page, first listed on Rolev.ai on October 19, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Staff Machine Learning Engineer, Home Surfaces job at Spotify located?
This Staff Machine Learning Engineer, Home Surfaces position at Spotify is located in New York, NY. Always check Spotify's application page for specific state eligibility or relocation policies.
What qualifications are required for Staff Machine Learning Engineer, Home Surfaces at Spotify?
For the Staff Machine Learning Engineer, Home Surfaces role, Spotify highlights experience with machine learning, recommendation systems, large language models, production ML infrastructure. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff Machine Learning Engineer, Home Surfaces position at Spotify?
This listing links directly to Spotify's Lever application page. You can apply directly on Spotify's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.