Machine Learning Engineer, Trust & Safety
Core
Design, build, and operate production systems to detect and disrupt abusive behavior at internet scale using LLM and classical ML approaches.
Role type
Senior IC machine learning engineer (trust & safety)
Builds
Production ML systems for abuse detection and classification
Domain
Internet scale trust & safety
Deliverable
production ML models
Required skills
Python, JavaScript/TypeScript, Go, ML infrastructure (training/serving pipelines, feature stores), LLM integration, prompt engineering, model monitoring, platform integration
Preferred skills
Open source ML tool development, trust and safety, fraud, or abuse prevention experience
Responsibilities
Build and maintain ML infrastructure including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks; Ship LLM and classical ML approaches for abuse detection; Own model systems end to end including deployment and iteration; Collaborate with security, product, and infrastructure teams to convert abuse patterns into production systems
Seniority
Senior, hands-on IC
