Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more.
About the role
fal is looking for a Machine Learning Engineer to own the ML and the ML infrastructure that power our safety systems end-to-end — from the models that detect harmful content and misuse to the pipelines and infrastructure that run them reliably at scale. This is a dedicated, hands-on engineering role sitting on the Trust & Safety team, working alongside our safety engineering function to keep detection capability ahead of a fast-growing platform with 1,000+ models. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
fal is looking for a Machine Learning Engineer to own the ML and the ML infrastructure that power our safety systems end-to-end — from the models that detect harmful content and misuse to the pipelines and infrastructure that run them reliably at scale. This is a dedicated, hands-on engineering role sitting on the Trust & Safety team, working alongside our safety engineering function to keep detection capability ahead of a fast-growing platform with 1,000+ models.
Design, build, and maintain the ML models and the ML...
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