Security Engineer / Research Engineer, RL Security
Core
Design, build, and operate security controls for large-scale reinforcement learning training systems and the underlying infrastructure.
Role type
Senior Security Engineer (RL Systems)
Builds
Secure RL training pipelines, orchestration environments, and shared security tooling for large distributed fleets.
Domain
AI Safety / Reinforcement Learning Infrastructure
Deliverable
production ML models
Required skills
Python, Rust/C++/Go, Linux, containers, cloud infrastructure, distributed systems, security fundamentals, observability, design documentation
Preferred skills
ML training/inference infrastructure at scale, infrastructure security (isolation, access control, networking), Kubernetes, sandboxed code execution, research team support, RL or LLM training workloads
Technologies
Python, Rust, C++, Go, Kubernetes, Linux, Cloud
Responsibilities
Design and operate security controls for RL training systems; Review code and designs across the RL stack to find and fix security issues; Build shared libraries and tooling for RL engineers; Develop observability for large fleets; Collaborate with researchers to ensure security changes preserve performance and correctness
Seniority
Senior, hands-on IC
