Security Engineer for Scalable RL AI Systems

Candidate; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Anthropic is seeking an experienced RL Security Engineer to design, implement, and operate security controls across RL training systems and infrastructure. You will collaborate across orchestration, environments, training, and inference, reviewing designs and code to identify security gaps and improve resilience.

You will build shared libraries and observability tooling while ensuring training accuracy and performance are preserved, and you will write clear design documents detailing security

Qualifications

• Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go.
• Experience designing, building, and operating large-scale distributed systems or security systems in production.
• Strong understanding of security fundamentals.
• Working knowledge of Linux, containers, and cloud infrastructure.
• Experience debugging complex problems across many hosts and services.
• Ability to reason about tradeoffs between security, performance, and reliability.
• Strong written communication, including design documents.

Responsibilities

• Design, build, and operate security controls for RL training systems and the infrastructure they run on
• Work across the stack (orchestration, environments, training, inference) wherever the work is needed
• Review designs and code across the RL stack, find security problems, and fix them
• Build shared libraries and tooling that other RL engineers and researchers build on
• Build the observability needed to understand what these systems are doing
• Work with researchers and performance engineers to make sure security changes preserve training correctness and performance
• Write clear design documents for what you build

Skills

Python

Rust

C++

Go

Distributed systems

Security fundamentals

Linux

Containers

Cloud infrastructure

Design documents

Job description

Anthropic is seeking an experienced RL Security Engineer to design, implement, and operate security controls across RL training systems and infrastructure. You will collaborate across orchestration, environments, training, and inference, reviewing designs and code to identify security gaps and improve resilience.

You will build shared libraries and observability tooling while ensuring training accuracy and performance are preserved, and you will write clear design documents detailing security