Spotify
Spotify7d ago

Senior Staff Machine Learning Engineer - Content Policy & Safety

London,LondonPermanentsenior
OtherStaff Machine Learning Engineer
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Quick Summary

Overview

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,

Technical Tools
OtherStaff Machine Learning Engineer

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 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 continues to grow, driven by advances in AI and new creation tools—we’re investing in systems that ensure content remains safe, compliant, and high quality.

We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators.

  • Define & drive machine learning strategy for safety, policy enforcement, and compliance systems

  • Build and scale ML systems for detection, classification, and risk assessment across content

  • Develop automated decisioning systems that ensure consistent, reliable enforcement of policies

  • Design systems that support real-time and large-scale content evaluation

  • Collaborate with product, policy, and trust & safety teams to operationalize content standards

  • Improve automation to reduce manual intervention,maintaining high quality and safety standards

  • Drive best practices in evaluation, fairness, and system reliability

  • Mentor engineers and contribute to technical direction across teams

  • You have strong experience building production-grade machine learning systems at scale

  • You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar

  • You have worked on systems where ML outputs influence real-world decisions

  • You understand how to design systems that balance automation with safety and user experience

  • You are comfortable working on complex, ambiguous problems with high impact

  • You think in systems and understand how models connect to platform-level outcomes

  • You care about data quality, evaluation rigor, and system reliability

  • You communicate clearly and influence across technical and non-technical teams

  • This role is based in London or Stockholm

  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

  • Location & Eligibility

    Where is the job
    London
    Hybrid — some on-site time required
    Who can apply
    Open to applicants worldwide

    Listing Details

    Posted
    April 28, 2026
    First seen
    April 28, 2026
    Last seen
    May 5, 2026

    Posting Health

    Days active
    6
    Repost count
    0
    Trust Level
    47%
    Scored at
    May 5, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
    Spotify
    Spotify
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    Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

    Employees
    3k+
    Founded
    2006
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    SpotifySenior Staff Machine Learning Engineer - Content Policy & Safety