About this role:fal 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 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
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; fal works in-person, 5 days a week
What we offer at fal:- 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
