Machine Learning Engineer, Trust & Safety
Core
Build and operate production systems to detect and stop abuse on the platform at internet scale, integrating LLMs and classical ML approaches.
Role type
Senior Machine Learning Engineer (Trust & Safety)
Builds
Production detection and classification systems for abusive behavior
Domain
Internet platform safety / Trust & Safety
Deliverable
production ML models
Required skills
Python, JavaScript/TypeScript, Go, ML infrastructure (training/serving pipelines, feature stores), LLM integration, prompt engineering, system reliability, scalability, observability
Preferred skills
Open source ML tool development, Trust & Safety/Fraud/Abuse prevention domain experience
Technologies
Python, JavaScript, TypeScript, Go, LLMs
Responsibilities
Design and operate production systems for abuse detection; Build and maintain ML infrastructure (pipelines, serving, evaluation); Ship LLM and classical ML models for abuse classification; Own systems end-to-end from integration to monitoring; Collaborate with security and product teams to implement detection logic
Seniority
Senior, hands-on IC
