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Senior Staff Machine Learning Engineer - Content Platform

Spotify· Engineering – Experience
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Hybrid (New York, NY)$281.2k - $401.7kPermanentPosted 5mo ago

About the role

Senior Staff Machine Learning Engineer to build and scale foundational ML systems powering content understanding, safety, policy enforcement, and decisioning at global scale for Spotify’s Content Platform. Focus areas include multimodal content understanding, automated decisioning, and platform-level ML systems across text, audio, image, and video, with collaboration across Product, Policy, Trust & Safety, and Engineering.

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 text, audio, image, or video
  • Built systems where ML 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 connecting models, data, infrastructure, and decisioning to platform-level outcomes
  • Commitment to data quality, rigorous evaluation, fairness, explainability, and system reliability
  • Experienced technical leader who communicates clearly, mentors others, and influences across technical and non-technical teams

Skills

Required:Machine Learning System DesignMultimodal MLML Frameworks

Benefits

  • health insurance
  • six month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • paid sick leave
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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