Staff Machine Learning Engineer - Policy & Safety

Londononsitemid

Posted 3w ago · via Lever

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About this role

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.…

Read the full description on Spotify's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

We compare your skills against the role requirements.

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in London. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

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