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Machine Learning Engineer, Safety

fal.ai· Engineering
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San Francisco$180k - $250k + equityFull-timePosted 3w ago

About the role

Machine Learning Engineer to own ML and ML infrastructure powering safety systems end-to-end on a fast-growing platform, focusing on detection of harmful content and abuse, with scale and reliability in production.

Responsibilities

  • 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
  • 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

  • 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

Skills

Required:ML and ML infrastructure for safety systemsDetection pipeline optimization
Nice to have:Security and infrastructure collaborationEvaluation of third-party safety toolingStaying current with ML safety/detection landscape

Benefits

  • 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
Last updated Oct 17, 2026. Interested? Apply on the company site.

About fal.ai

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