Security Engineer - Large-Scale RL & ML Systems

Anthropic; Seattle (WA); Hybrid; USD 320,000 - 405,000; Full time

Job summary

Anthropic is seeking an RL Engineering security-focused engineer to design, build, and operate controls for RL training systems. You will work across orchestration, environments, training, and inference to maintain security as these systems scale and evolve.

Ideal candidates have strong Python and systems-language expertise, plus deep knowledge of Linux, containers, and cloud infrastructure. This role emphasizes collaboration with researchers and performance engineers to ensure training

Qualifications

• Proven experience with Python and at least one systems language.
• Experience designing, building, and operating large-scale distributed systems or security systems.
• Strong understanding of security fundamentals.
• Proficient in Linux, containers, and cloud infrastructure.
• Experience debugging across many hosts and services.
• Ability to balance security, performance, and reliability.
• Strong written communication, including design docs.

Responsibilities

• Design, build, and operate security controls for RL training systems.
• Work across the stack (orchestration, environments, training, inference).
• Review designs and code, identify and fix security issues.
• Build shared libraries and tooling for RL engineers and researchers.
• Develop observability to understand system behavior.
• Collaborate with researchers and performance engineers to preserve training correctness.

Skills

Python

Rust

C++

Go

Distributed systems

Linux

Containers

Cloud infrastructure

Troubleshooting

Security tradeoffs

Design docs

Tools

Kubernetes

Job description

Anthropic is seeking an RL Engineering security-focused engineer to design, build, and operate controls for RL training systems. You will work across orchestration, environments, training, and inference to maintain security as these systems scale and evolve.

Ideal candidates have strong Python and systems-language expertise, plus deep knowledge of Linux, containers, and cloud infrastructure. This role emphasizes collaboration with researchers and performance engineers to ensure training