Machine Learning Engineering Manager, Personalization
Spotify
Machine Learning Engineering Manager, 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 | Machine Learning Engineering Manager, 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.
You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix. As part of Personalization's broader strategy, the team is also helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models, including fine-tuning models to improve the quality, relevance, and personalization of our playlists. As the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day.
Create your free OnJob profile to apply — we'll take you to Spotify's application after sign-up. · Posted 30 Jul 2026.
Machine Learning Engineering Manager, Personalization at Spotify — questions answered
What does the Machine Learning Engineering Manager, Personalization role at Spotify pay?
Spotify does not publish a salary on this Machine Learning Engineering Manager, 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 Machine Learning Engineering Manager, Personalization role at Spotify remote?
Yes — Spotify advertises this Machine Learning Engineering Manager, 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 Machine Learning Engineering Manager, Personalization role at Spotify still open?
The Machine Learning Engineering Manager, 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 Machine Learning Engineering Manager, Personalization role at Spotify?
Apply to the Machine Learning Engineering Manager, 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.
Related Data & AI jobs
Hand-picked roles that match this listing on skills, category and location — each scored to your profile inside OnJob.
Explore more on OnJob
Hiring for a role like this?
Post a job on OnJob and reach AI-matched candidates.