Staff Machine Learning Engineer, Policy & Safety

Spotify·Stockholm, Stockholm County, Sweden | London, England, United Kingdom·posted 101d ago · last seen 51m ago

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About interviewing at Spotify

Recruiter screen expecting genuine product knowledge, a level-dependent technical assessment (online test, new-grad take-home, or 60–75 minute live coding), then an onsite of coding (sometimes as a pull-request review), Spotify-flavored system design, a distinctive production-incident case study, and a values round rooted in the squad culture. Two to five weeks end to end.

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Description

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. About the Team The Policy & Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform. Our work is critical to every new content type and product experience—from messaging and comments to collaborative and emerging AI-driven features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that safety is built into Spotify experiences from the start.

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