Machine Learning Engineer, Safety
fal · San Francisco
CHECKED 16H AGO
Infrastructureonsite$180k–$250k
At a glance
Highlights
- Own ML models and infrastructure powering safety end-to-end.
- Keep detection ahead of fast-growing platform with 1,000+ models.
- Ensure rapid AI innovation never comes at the cost of safety.
What they offer
- Competitive salary and equity
- Relocation assistance to San Francisco
- Health, dental, and vision insurance (US)
- Regular team events and offsites
- Learning and growth opportunities
Ideal candidate
Hands-on ML engineer with trust & safety experience who thrives owning ambiguous, high-stakes problems end-to-end and cares deeply about shipping safe AI at scale.
Requirements
- Prior hands-on experience in trust & safety, content moderation, or abuse/detection systems
- Strong end-to-end engineering fundamentals owning ML and serving infrastructure in production
- Comfortable owning ambiguous, high-stakes problems with limited precedent
- remote policy
- In-person 5 days a week
Lab profile
About fal
Generative media infrastructure platform for high-performance inference, orchestration, and model access at scale.
What they build
- Generative media platform
- High-performance inference APIs
- Model orchestration
Known for
- High-performance inference at scale
- Unified inference, orchestration and observability
- Idea-to-production for developers and enterprises