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Senior Staff Machine Learning Engineer - Content Platform

Spotify

Remote · New York, NYFull Time
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Senior Staff Machine Learning Engineer - Content Platform at Spotify is a full time role based in Remote · New York, NY (remote). It was published on 29 April 2026 and was open at last check.

Senior Staff Machine Learning Engineer - Content Platform at Spotify — key details
RoleSenior Staff Machine Learning Engineer - Content Platform
CompanySpotify
LocationRemote · New York, NY (remote)
Employment typeFull Time
Published29 April 2026
StatusOpen at last check

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is understood, trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform.

As the scale and diversity of content continue to grow—driven by advances in AI, new creation tools, and emerging content formats—we’re investing in intelligent systems that can understand, evaluate, manage, and route content reliably at global scale.

We’re hiring Senior Staff Machine Learning Engineers to build and scale foundational ML systems that power content understanding, safety, policy enforcement, and decisioning across Spotify. Depending on your experience and interests, you may focus on areas ranging from multimodal content understanding and platform-level ML systems to safety, risk detection, policy enforcement, and compliance.

You’ll help shape the architecture and technical strategy behind how Spotify understands and makes decisions about content at global scale. This work is foundational to delivering safe, high-quality experiences for listeners and creators while enabling new ways for people to interact with content across Spotify.

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Create your free OnJob profile to apply — we'll take you to Spotify's application after sign-up. · Posted 29 Apr 2026.

Senior Staff Machine Learning Engineer - Content Platform at Spotify — questions answered

What does the Senior Staff Machine Learning Engineer - Content Platform role at Spotify pay?

Spotify does not publish a salary on this Senior Staff Machine Learning Engineer - Content Platform 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 Senior Staff Machine Learning Engineer - Content Platform role at Spotify remote?

Yes — Spotify advertises this Senior Staff Machine Learning Engineer - Content Platform 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 Senior Staff Machine Learning Engineer - Content Platform role at Spotify still open?

The Senior Staff Machine Learning Engineer - Content Platform posting at Spotify was open at OnJob's last check of the employer's careers page, having been published on 29 April 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 Senior Staff Machine Learning Engineer - Content Platform role at Spotify?

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