Spotify8mo ago
Senior Staff Machine Learning Engineer
Data ScienceOtherMachine Learning EngineerStaff Machine Learning EngineerData & AI
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Quick Summary
Overview
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening.
Technical Tools
javapythonpytorchscalatensorflowab-testingagilemachine-learningstakeholder-management
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.
Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users.
This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. You will work as an individual contributor, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage.
Join us and you’ll keep millions of users listening to great recommendations every day!
Location & Eligibility
Where is the job
New York, United States
Remote within one country
Who can apply
US
Listed under
United States
Listing Details
- Posted
- August 19, 2025
- First seen
- March 25, 2026
- Last seen
- May 10, 2026
Posting Health
- Days active
- 45
- Repost count
- 0
- Trust Level
- 39%
- Scored at
- May 10, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust

Spotify
lever
Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.
View company profileExternal application · ~5 min on Spotify's site
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