Senior Machine Learning Engineer - Policy & Safety

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)