×
Register Here to Apply for Jobs or Post Jobs. X

Senior Machine Learning Engineer, Personalization, Music Understanding

Job in New York, New York County, New York, 10261, USA
Listing for: spotify
Full Time position
Listed on 2026-09-07
Job specializations:
  • Software Development
    Backend Developer, Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below
Location: New York

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
Description

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

Responsibilities
  • 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.
Requirements / Eligibility
  • 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.
#J-18808-Ljbffr
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary