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Spotify

RecSys 2026 — Full Time

New York, NY · London · Stockholm

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hirly's read of this role

Seniority
Mid level
Countries
US, GB, SE
Work mode
Remote-friendly
First seen by hirly
24 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

PLEASE READ BEFORE APPLYING

This posting is intended specifically for candidates who are participating in RecSys and is not a general application for open roles at Spotify.

When applying, you’ll be asked to select how you engaged with us at the conference. Please answer this question accurately. Applications indicating conference participation or engagement that did not occur may be removed from consideration.

If you are interested in opportunities at Spotify but are not attending RecSys please visit our Life at Spotify page to explore current openings.

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Thanks for connecting with the Spotify team at the conference! This posting is a way for us to stay in touch and keep the conversation going.

At Spotify, machine learning and AI are at the heart of how we personalize music, podcasts, and audiobooks for hundreds of millions of listeners around the world. Our ML teams tackle problems across recommendation systems, search and ranking, natural language understanding, generative AI, audio analysis, and more — and we're always looking for talented researchers and engineers who want to do impactful work at scale.

By applying here, you're expressing interest in ML/AI opportunities at Spotify. This isn't tied to a specific role or team — our team will follow up to explore the right fit based on your background, interests, and experience.

Original posting on Spotify's site ↗

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