Spotify
Spotify4d ago

Senior Staff Machine Learning Engineer, Content Platform

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 building intelligent systems that can evaluate, manage, and route content reliably at global scale.

We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify.

  • Shape the machine learning strategy for content understanding and platform-level decisioning

  • Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content

  • Develop automated decisioning systems that ensure content quality, integrity, &  policy compliance at scale

  • Design and deploy models across text, audio, image, and video domains

  • Build systems that enable controlled, reliable access to content and metadata for downstream applications

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

  • Improve automation to reduce manual intervention while maintaining high standards of trust and quality

  • Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design

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

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

  • You have worked with or are interested in multimodal machine learning

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

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

  • You think in systems, connecting models to platform-level outcomes and user experiences

  • You care deeply 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 29, 2026
    First seen
    April 29, 2026
    Last seen
    May 4, 2026

    Posting Health

    Days active
    4
    Repost count
    0
    Trust Level
    70%
    Scored at
    May 4, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
    Spotify
    Spotify
    lever

    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 Platform