Machine Learning Engineer, Safety

About this role:

fai is looking for a Machine Learning Engineer to own the ML and the ML infrastructure that power our safety systems end-to-end — from the models that detect harmful content and misuse to the pipelines and infrastructure that run them reliably at scale. This is a dedicated, hands-on engineering role sitting on the Trust & Safety team, working alongside our safety engineering function to keep detection capability ahead of a fast-growing platform with 1,000+ models.

What you’ll do:

• Design, build, and maintain the ML models and the ML infrastructure behind fai'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 fai'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 fai 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

Qualifications/Nice to have:

• 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; fai works in-person, 5 days a week

What we offer at fai:

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsite

Comp:

• 180k - 250k + equity + comprehensive benefits package