Machine Learning Engineer, Safety

The role

This person will own the ML and ML infrastructure that power safety systems end-to-end. They will design and maintain models and pipelines that detect harmful content and misuse.

What you will do

• Design, build, and maintain ML models and ML infrastructure for safety and abuse-detection systems
• Improve accuracy, coverage, latency, and scalability of detection pipelines
• Partner with Security and Infrastructure Engineering to integrate safety systems into core platform infrastructure
• Evaluate and integrate third-party safety tooling and vendor models
• Stay current with the ML safety/detection landscape and bring new techniques and infrastructure patterns to the stack

Required qualifications

• Prior hands-on experience in trust & safety, content moderation, or abuse/detection systems
• 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

Benefits

• Competitive salary and equity
• Learning and growth opportunities
• Relocation assistance to San Francisco
• Health, dental, and vision insurance (US)
• Regular team events and offsite

About the company

fal is the generative media ecosystem powering the next generation of AI products. They build infrastructure, tools, and model access for developers and enterprises.