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.…
What we'd score you on
reqspace match rubricFive 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.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
teams
More at Spotify
- View →Staff Engineer - Content Intelligence InfrastructureLondon
- View →Senior Product Manager – Financial Engineering - Tax SolutionsLondon
- View →Data ScientistDubai
- View →Senior Backend Engineer - Platform Developer ExperienceLondon
- View →Senior Client Engineer - Core Experience (Formats & Foundations)Stockholm
- View →Client Engineer II - Core Experience (Formats & Foundations)Stockholm
