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Senior Staff Machine Learning Engineer - Content Platform

Spotify· Engineering – Experience
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Hybrid (London or Stockholm)PermanentPosted 5mo ago

About the role

Senior Staff ML Engineer to build and scale foundational ML systems for content understanding, safety, policy enforcement, and decisioning at Spotify, focusing on multimodal content across text, audio, image, and video, with global scale and impact on content quality and user experience.

Responsibilities

  • Define and drive machine learning strategy across content understanding, safety, policy enforcement, and platform-level decisioning
  • Build and scale production ML systems for classification, moderation, ranking, risk detection, and content evaluation
  • Develop automated decisioning systems that support content quality, integrity, safety, and policy compliance at scale
  • Design and deploy ML systems across multiple content modalities, including text, audio, image, and video
  • Build systems capable of evaluating and making decisions about content in real time and at Spotify scale
  • Enable controlled and reliable access to content and metadata for downstream products and applications
  • Collaborate closely with Product, Policy, Trust & Safety, and Engineering teams to translate content standards into scalable technical solutions
  • Advance automation while maintaining high standards for quality, safety, fairness, explainability, and reliability
  • Provide technical leadership across teams, mentoring engineers and influencing ML engineering, evaluation, and system design best practices

Qualifications

  • Significant experience designing and building production-grade machine learning systems at scale
  • Deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar
  • Experience with—or strong interest in—multimodal machine learning across areas such as text, audio, image, or video
  • Built systems where machine learning outputs inform or automate real-world decisions
  • Understanding of balancing automation with quality, safety, reliability, and user experience
  • Ability to tackle complex and ambiguous technical problems with significant product and business impact
  • Systems thinking across models, data, infrastructure, and decisioning to platform-level outcomes
  • Commitment to data quality, rigorous evaluation, fairness, explainability, and system reliability
  • Experience as a technical leader who communicates clearly, mentors others, and influences across technical and non-technical teams

Skills

Required:Machine learning system design at scaleML frameworks
Nice to have:Multimodal ML

Benefits

  • Flexible hybrid work arrangement (London or Stockholm, with partial in-person meetings and remote work possible)
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Spotify

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Spotify is a digital music service that gives you access to millions of songs.

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