Senior Machine Learning Engineer - Policy & Safety

📋 Description

• Design, build, and ship production-grade ML systems for content safety at Spotify scale
• Lead 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 with standardized datasets, offline and online metrics
• Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
• Collaborate with Trust & Safety, Legal, and Public Affairs to align on policy needs

🎯 Requirements

• Solid experience building and deploying ML systems in production at scale
• Experience training, evaluating, and maintaining ML models using PyTorch
• Deep understanding of ML evaluation, including dataset design, metrics, and continuous improvement systems
• 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

🎁 Benefits

• Equity
• Health insurance
• Six-month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off