Staff Machine Learning Engineer - Policy & Safety

Spotify
New York, US
On-site

Who this role is best for

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • development of scalable content moderation systems
  • improvement in user safety metrics
Typical background
PhD in Computer Science or related fieldexperience in machine learning

Skills & requirements

Required

Machine-learningPolicy-enforcementContent-moderationModel-detection

Preferred

Natural-language-processingData-science

About the role

Original posting from Spotify via Lever

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 sits on the critical path of every new content type and product experience—from messaging and comments to collaborative and agentic features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that as Spotify evolves, safety is built in from the start—not added later.

Source: Spotify careers (Lever)

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