Senior Machine Learning Engineer, Personalization, Music Understanding
Listed on 2026-09-07
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Software Development
Backend Developer, Software Engineer, Full Stack Developer
Short Summary
Senior Machine Learning Engineer, Personalization, Music Understanding with spotify. The Person alization 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…
Key Details- Position / opportunity: Senior Machine Learning Engineer, Personalization, Music Understanding
- Organization: spotify
- Country / coverage: United States
- Location: New York, NY
- Work arrangement: On-site
- Opportunity type: Jobs
- Sector: Education
- Compensation: Not specified
- Duration: Not specified
- Start date:
- Final date to receive applications: Not specified
The Person alization 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.
You’ll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.
What You'll Do Who You Are Where You'll Be Personalization Permanent
- The Person alization 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.
- You’ll join a team working at the intersection of machine learning, music understanding, and user experience.
- We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to.
- The Person alization 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.
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