Staff Machine Learning Engineer, Home Surfaces
Build personalized discovery experiences using ML and LLMs at global scale
As a Staff Machine Learning Engineer on Spotify's Personalization team, you will shape the future of personalized discovery and engagement by building moment-based experiences across Spotify surfaces. You'll work at the intersection of recommendation systems, large language models, and production-scale ML infrastructure to deliver highly relevant, personalized experiences to millions of listeners worldwide. This includes evolving the Home Shor...
Why This Role?
Shape the future of personalized discovery and engagement at Spotify with real impact on millions of users
Key Responsibilities
- Build moment-based experiences across Spotify surfaces using machine learning
- Evolve the Home Shortcuts experience and its underlying intelligence
- Work at the intersection of recommendation systems and large language models
- Take models from research to production at global scale
- Drive technical direction in ambiguous problem spaces
- Solve complex personalization challenges for millions of listeners
Requirements
- Experience taking models from research to production
- Expertise in recommendation systems
- Experience with large language models
- Background in production-scale machine learning infrastructure
- Ability to drive technical direction in ambiguous problem spaces
- Experience solving complex personalization challenges at scale
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Lever Postings
Original description from Lever Postings
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.
Salary Context
Similar Engineering roles on LokerDollar pay around $218.8k/yr (range $41k–1000k/yr, n=645 active listings).
Hiring at Spotify
Spotify has 22 other active roles on LokerDollar and has been hiring here since May 7, 2026 — across Engineering, Data & Analytics, Operations, Writing & Content.
- Data Scientist - Music Promotion
- Policy Support Specialist, Ads & Monetization Ops
- Director of Engineering - Content Platform (Catalog)
Openness not stated by employer — check the listing
Frequently asked questions
- Is Staff Machine Learning Engineer, Home Surfaces at Spotify a remote job?
- This role is based in Remote. See the listing for remote/onsite details.
- What type of employment is Staff Machine Learning Engineer, Home Surfaces at Spotify?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Spotify.
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