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Jobs(31,365)/Machine Learning Engineer Role(375)/spotify (76) - Staff Machine Learning Engineer - Policy & Safety
spotify

spotify - Staff Machine Learning Engineer - Policy & Safety

London / Stockholm2mo ago
RemoteStaffEMEAArtificial IntelligenceMachine Learning EngineerReporting

Requirements

• You have experience building and shipping production-grade machine learning systems at scale • You are experienced with ML evaluation, including dataset design, metrics, and model performance monitoring • You have worked with multimodal machine learning across text, audio, image, or video domains • You have experience with human-in-the-loop systems, active learning, or feedback-driven model improvement • You are comfortable translating complex requirements into technical solutions, including policy or regulatory constraints • You are experienced working across teams and influencing technical direction in large systems • You are comfortable navigating ambiguity and making thoughtful trade-offs between speed, quality, and risk • You communicate clearly and collaborate effectively with both technical and non-technical partners

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 • 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 grow technical capability across the team • This role is based in London or Stockholm • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

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