Staff Machine Learning Engineer - Policy & Safety

Spotify
New York
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Problem-solving","Leadership","Mentoring"]

Lead and scale production-grade ML systems for proactive content detection and policy enforcement. Design evaluation frameworks, build multimodal models, and convert human reviewer feedback into training data. Collaborate with Trust & Safety, Legal, Public Affairs, and Product to translate regulatory needs into scalable ML designs while guiding long-term platform architecture.

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FursaFursa
Spotify
Spotify
3 months ago

Staff Machine Learning Engineer - Policy & Safety

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead and scale production-grade ML systems for proactive content detection and policy enforcement. Design evaluation frameworks, build multimodal models, and convert human reviewer feedback into training data. Collaborate with Trust & Safety, Legal, Public Affairs, and Product to translate regulatory needs into scalable ML designs while guiding long-term platform architecture.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and scale ML systems for proactive content detection, classification, and pre-publish safety scanning
  • •Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
  • •Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
  • •Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
  • •Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
  • •Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
  • •Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
  • •Mentor and support other machine learning engineers, helping raise the bar across the team

Pay and Benefits

Perks:Health Insurance401kParental LeaveMeal AllowancePaid Leave

Key Requirements

  • •Proven experience building and shipping production-grade ML systems at scale
  • •Strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
  • •Experience developing multimodal models (text, audio, image, video) for safety and policy applications
  • •Experience with human-in-the-loop systems, active learning, or feedback-driven model improvement
  • •Ability to translate complex regulatory or policy requirements into scalable ML system designs
Experience:Machine learningMultimodalPolicySafetyContent moderation
Skills:CommunicationCollaborationProblem-solvingLeadershipMentoring
Languages:English
Tech Stack:Multimodal MLML frameworksData designModel evaluationActive learningHuman-in-the-loopPolicy enforcement

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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