Staff ML Engineer - Trust & Safety

📋 Description

• Design, train and ship identity risk scoring, fraud and fraud-ring detection, listing integrity
• Build models and retraining loops that hold up as bad actors adapt
• Run careful experiments that account for adversarial drift and feedback loops
• Connect reviewer decisions to model training and route uncertain cases to reviewers
• Ship integrity and reputation scores for search ranking and recommendations
• Own serving, monitoring, SLOs and on-call for what you ship

🎯 Requirements

• Experience shipping at least 3 ML systems to production at meaningful scale
• Typically 6+ years of engineering experience for Senior and 8+ for Staff
• Hands-on experience in adversarial or integrity domain such as fraud detection, anti-abuse, spam
• Solid grounding in imbalanced, high-stakes classification: precision/recall trade-offs, threshold
• Experience evaluating models in feedback-loop systems
• Strong engineering fundamentals: production-quality code, reliable data pipelines and reproducible