spotify - Senior Machine Learning Engineer - Policy & Safety
Requirements
• You have solid experience building and deploying machine learning systems in production environments at scale • You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch • You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems • You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains • You care about building safe, responsible, and user-centric ML systems • You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders • You have experience leading technical projects and influencing direction within a team or product area • You have experience with distributed systems or backend technologies (e.g., Scala) • ## Where You'll Be • 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.
Responsibilities
• 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
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