Machine Learning Engineer Safety
fal is an active generative-media AI platform for developers, providing optimized model APIs, serverless deployment, and GPU compute.
Maintainer signals as of 9/25/2026
San Francisco, United States
Funding history
About fal
Founded in 2021 by Burkay Gur and Gorkem Yurtseven, fal provides infrastructure for production generative-media applications, including image, video, audio, 3D, and multimodal models.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own machine learning models and production infrastructure for safety and abuse detection. You will improve detection accuracy, coverage, latency, and scalability; integrate systems with core infrastructure; assess third-party tools; and introduce relevant safety techniques.
Requirements
- Hands-on experience in trust and safety, content moderation, or abuse and detection systems
- End-to-end engineering ability across machine learning and production infrastructure
- Ability to own ambiguous, high-stakes problems
- Based in San Francisco
Responsibilities
- Design, build, and maintain machine learning models and infrastructure for safety and abuse detection
- Improve the accuracy, coverage, latency, and scalability of detection pipelines
- Integrate safety systems with core platform infrastructure
- Evaluate and integrate third-party safety tooling and vendor models
- Apply new machine learning safety techniques and infrastructure patterns
Benefits
- Equity
- Relocation assistance to San Francisco
- Health, dental, and vision insurance
- Regular team events and offsites