fal.ai
Machine Learning Engineer, Safety
$180K–$250K
San Francisco · On-site · Full-time · Posted Sep 28, 2026
About the job
Owns the machine-learning models and infrastructure behind fal’s safety and abuse-detection systems, improving their effectiveness and production performance across the platform.
What you'll do
- Build and maintain safety models and the infrastructure that runs them.
- Improve detection accuracy, coverage, latency, and scalability; integrate safety systems with platform infrastructure.
- Evaluate third-party safety tools and models, and bring relevant techniques into fal’s stack.
What they ask for
- Prior hands-on experience in trust and safety, content moderation, or abuse/detection systems.
- Strong end-to-end engineering fundamentals, including production ML and infrastructure ownership.
- Comfort owning ambiguous, high-stakes problems with limited precedent.
Pay
180k - 250k (base salary); $180K – $250K (base salary)
Tools
Python, torch, diffusers, Kubernetes, fal Python SDK
AI focus
Develop and operate ML systems that detect harmful content and misuse, and evaluate safety models and techniques.
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