Staff Machine Learning Engineer, Personalization
Spotify
Staff Machine Learning Engineer, Personalization at Spotify is a full time role based in Remote · New York, NY (remote). It was published on 30 July 2026 and was open at last check.
| Role | Staff Machine Learning Engineer, Personalization |
|---|---|
| Company | Spotify |
| Location | Remote · New York, NY (remote) |
| Employment type | Full Time |
| Published | 30 July 2026 |
| Status | Open at last check |
The Personalization 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.
Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world.
As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.
Create your free OnJob profile to apply — we'll take you to Spotify's application after sign-up. · Posted 30 Jul 2026.
Staff Machine Learning Engineer, Personalization at Spotify — questions answered
What does the Staff Machine Learning Engineer, Personalization role at Spotify pay?
Spotify does not publish a salary on this Staff Machine Learning Engineer, Personalization listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Is the Staff Machine Learning Engineer, Personalization role at Spotify remote?
Yes — Spotify advertises this Staff Machine Learning Engineer, Personalization role as remote, tied to Remote · New York, NY, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Spotify before you apply.
Is the Staff Machine Learning Engineer, Personalization role at Spotify still open?
The Staff Machine Learning Engineer, Personalization posting at Spotify was open at OnJob's last check of the employer's careers page, having been published on 30 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Staff Machine Learning Engineer, Personalization role at Spotify?
Apply to the Staff Machine Learning Engineer, Personalization at Spotify role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Spotify's own application page. Creating a profile is free and needs no card.
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