Spotify
London
ML Engineering
Posted 5 months ago
Verified open on Oct 5, 2026 · posted 159 days ago
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.
Not ready to apply?
Get new ML Engineering jobs in your inbox
Join 100+ AI professionals · Weekly, free, unsubscribe anytime
This role is classified as ML Engineering.
Preparing to interview? Read the ML Engineering interview guide.
$200k - $281k is the middle 50% of disclosed salaries, measured from 256 live ML Engineering postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.
Hiring for a role like this?
Reach AI professionals browsing the board - your listing goes live instantly.
Thomson ReutersUnited States of America, McLean
Thomson ReutersUnited States of America, Brooklyn+3 more