ML Safety Engineer: Trust & Safety Infrastructure

fal; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive salary and equity

Relocation assistance to San Francisco

Health, dental, and vision insurance (

Regular team events and offsite

Job summary

fal, a generative media platform in San Francisco, is hiring a Machine Learning Engineer to own ML and ML infrastructure that power safety systems end-to-end. You will work on detection models and pipelines that run at scale, with access to a massive GPU cluster for inference and evaluation.

You’ll be part of the Trust & Safety team, collaborating across Security and Infrastructure to embed safety into core platform infrastructure while shipping continuous AI breakthroughs responsibly.

Qualifications

• Must have hands-on experience in trust & safety, content moderation, or abuse/detection systems.
• Strong end-to-end engineering fundamentals; own ML and production infra.
• Comfortable owning ambiguous, high-stakes problems.

Responsibilities

• Design, build, and maintain 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.

Skills

Trust & Safety Experience

End-to-end engineering

Tools

Python

PyTorch

Diffusers

Kubernetes

fal Python SDK

Job description

fal, a generative media platform in San Francisco, is hiring a Machine Learning Engineer to own ML and ML infrastructure that power safety systems end-to-end. You will work on detection models and pipelines that run at scale, with access to a massive GPU cluster for inference and evaluation.

You’ll be part of the Trust & Safety team, collaborating across Security and Infrastructure to embed safety into core platform infrastructure while shipping continuous AI breakthroughs responsibly.