Staff Machine Learning Engineer - Safety & Policy

Spotify
London, Stockholm
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Analytical thinking","Problem-solving","Leadership"]

Lead and scale production-grade ML systems for proactive content detection and policy enforcement. Design evaluation frameworks, develop multimodal models (text, audio, image, video), and translate regulatory requirements into scalable architectures. Collaborate with Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences and influence long-term platform direction.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Spotify
Spotify
3 months ago

Staff Machine Learning Engineer - Safety & Policy

✓ Verified Job

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, develop multimodal models (text, audio, image, video), and translate regulatory requirements into scalable architectures. Collaborate with Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences and influence long-term platform direction.
Location: London, Stockholm
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and scale machine learning 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 reviewer input into structured training data for continuous model improvement.
  • •Translate regulatory requirements into scalable ML system designs, including accuracy and reporting expectations.

Key Requirements

  • •Experience building and shipping production-grade machine learning systems at scale.
  • •Experience with ML evaluation, including dataset design, metrics, and model performance monitoring.
  • •Experience with multimodal machine learning across text, audio, image, or video domains.
  • •Experience with human-in-the-loop systems, active learning, or feedback-driven model improvement.
  • •Ability to translate complex requirements into technical solutions, including policy or regulatory constraints.
Experience:TechnologyAIContent moderationSafetyPolicy
Skills:CommunicationCollaborationAnalytical thinkingProblem-solvingLeadership
Languages:English
Tech Stack:Multimodal MLMachine learningDataset designOffline metricsOnline metrics

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
WebsiteLinkedInGlassdoor