Machine Learning Engineer, Trust & Safety

Responsibilities Design, build, and operate production systems that detect and disrupt abusive behavior at internet scale. Build and maintain ML infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks. Ship LLM and classical ML approaches for abuse detection and classification. Own model systems end to end, including platform integration, deployment, monitoring, and iteration. Collaborate with security, product, and infrastructure teams…