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HOME Data Science & ML Staff Machine Learning Engineer, Personalization
  • Spotify
  • New York, NY, NY
  • Full-Time
  • 66 days ago
  • $227,495–$324,993
Spotify VERIFIED EMPLOYER

Staff Machine Learning Engineer, Personalization.

Remote Data Science & ML Full-Time
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Staff Machine Learning Engineer, Personalization: our view in 3 lines...

  • The Role:This role is for an experienced machine learning engineer working on personalization systems and recommendation models at Spotify.
  • The Person:The person will own and improve personalization models and systems, build recommendation and content systems, train and optimize large language models, run A/B testing, and mentor other machine learning engineers.
  • Requirements:The ideal candidate has 8+ years of experience, deep expertise in recommendation systems, ranking models, personalization, Python, PyTorch, large language model training, and distributed machine learning workloads.

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.

Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world.

As a Staff Machine Learning Engineer, you will 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 that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.

The United States base range for this position is $227,495- $324,993 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
 
Published July 30, 2026
Location New York, NY, NY
Category Data Science & ML  
Job Type Full-Time  

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