Machine Learning Engineer, Safety at fal
About the role
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 techn…
Interview process at fal
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types fal interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.