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SpotifySpotifyNew York, NY

Senior Machine Learning Engineer - Policy & Safety

Designs, builds, and deploys production ML systems for content safety, moderation, and policy enforcement at Spotify scale. Leads technical initiatives, develops multimodal/LLM models, and collaborates with Trust & Safety, Legal teams on safety-critical systems.

Salary not listed
HybridML Engineering

About the role

What You'll Do

  • Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
  • Own and lead key technical initiatives across detection, classification, and policy evaluation systems
  • Develop and maintain ML models for content moderation, including multimodal and LLM-based systems
  • Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
  • Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
  • Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
  • Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
  • Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Who You Are

  • Solid experience building and deploying machine learning systems in production environments at scale
  • Experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
  • Deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
  • Know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
  • Care about building safe, responsible, and user-centric ML systems
  • Comfortable working across disciplines, partnering with legal, policy, and product stakeholders
  • Experience leading technical projects and influencing direction within a team or product area
  • Experience with distributed systems or backend technologies (e.g., Scala)

Skills

PyTorchMachine LearningLLMsMultimodal ModelsScalaDistributed SystemsMl EvaluationContent ModerationPolicy EnforcementEvaluation Frameworks

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