16 hours ago
Base Salary
$180k - $250k/yr
Responsibilities
- Design, build, and maintain ML models and production infrastructure for safety and abuse-detection systems.
- Improve the accuracy, coverage, latency, and scalability of detection pipelines across the platform.
- Partner with Security and Infrastructure Engineering to integrate safety systems into core platform infrastructure.
- Evaluate and integrate third-party safety tooling and vendor models.
- Track developments in the ML safety and detection landscape and introduce relevant techniques and infrastructure patterns.
- Use fal’s GPU cluster for inference and evaluation while deploying new safety capabilities at scale.
Requirements
- Hands-on experience in trust and safety, content moderation, or abuse/detection systems is required.
- Strong end-to-end engineering fundamentals, including ownership of ML systems and the infrastructure that serves them in production.
- Ability to own ambiguous, high-stakes problems with limited precedent.
Benefits
- Competitive salary and equity.
- Comprehensive benefits package including US health, dental, and vision insurance.
- Relocation assistance to San Francisco.
- Learning and growth opportunities, regular team events, and offsites.
- In-person work in San Francisco five days per week.
Tech Stack
Categories
About fal
Fal builds a generative media platform that gives developers a unified API to run state-of-the-art image, video, and audio models. It provides serverless GPUs, high-performance inference, and dedicated compute clusters so teams can customize, deploy, and scale models in production. The company is privately held and headquartered in San Francisco, serving both startups and enterprises through a commercial API and managed infrastructure.