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# Machine Learning Engineer, Safety

- **Company:** fal - Features & Labels
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Kubernetes, Low Latency, Machine Learning Operations
- **Published:** September 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3fff7502590fb1a2

## About the Role

* Prior hands-on experience in trust & safety, content moderation, or abuse/detection systems - required
 * Strong end-to-end engineering fundamentals - comfortable owning both the ML and the infrastructure that serves it in production
 * Comfortable owning ambiguous, high-stakes problems with limited precedent
 * Based in San Francisco; fal works in-person, 5 days a week

## Description

* Design, build, and maintain the ML models and the ML infrastructure behind fal's safety and abuse-detection systems, end-to-end
 * Improve the accuracy, coverage, latency, and scalability of detection pipelines across the platform
 * Partner with Security and Infrastructure Engineering to integrate safety systems deeply into core platform infrastructure
 * Evaluate and integrate third-party safety tooling and vendor models where it makes sense
 * Stay current with the ML safety/detection landscape and bring new techniques and infrastructure patterns into fal's stack
 * You will have access to our massive GPU cluster for inference and evaluation
 * Some core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK
 * You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs - your job is to make sure that speed never comes at the cost of safety