# Machine Learning Engineer, Safety at Fal

- Company: Fal
- What the company does: 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.
- Company website: https://fal.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $180K to $250K base salary per year (USD)
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://jobs.ashbyhq.com/fal-ai/ae1ab033-5e45-46da-9f20-55ac350eb0e9?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/fal-machine-learning-engineer-safety/

## 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

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/fal-machine-learning-engineer-safety/