Machine Learning Engineer, Safety
Core
Design, build, and maintain ML models and infrastructure for end-to-end safety and abuse-detection systems on a generative media platform.
Role type
Senior IC machine learning engineer (safety & infrastructure)
Builds
High-performance inference pipelines, detection models, and observability tools for safety systems
Domain
Generative AI / Trust & Safety
Deliverable
production ML models
Required skills
End-to-end ML engineering, model deployment, pipeline optimization, third-party tool integration, GPU cluster management
Preferred skills
Experience with content moderation, abuse detection, ambiguous high-stakes problem solving
Technologies
Python, PyTorch, Diffusers, Kubernetes, fal Python SDK
Responsibilities
Design and maintain ML models and infrastructure for safety/abuse detection; Improve accuracy, coverage, latency, and scalability of detection pipelines; Partner with Security and Infrastructure Engineering to integrate safety systems; Evaluate and integrate third-party safety tooling and vendor models; Stay current with ML safety/detection landscape and introduce new techniques
Seniority
Senior, hands-on IC
