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SpotifyPersonalization

Machine Learning Engineer, Personalization, Minesweeper

New Yorkonsitemid

Posted 5mo ago · via Lever

About this role

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, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person 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” as well as original playlists such as “Discover Weekly” and “Daily Mix.”   Personalization’s Minesweeper squad produces Human Understandable Language Knowledge to enrich music and talk content understanding.…

Read the full description on Spotify's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: teams

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in New York. We weight your proximity and willingness to relocate.

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Skills in this role

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