# Security Engineer / Research Engineer, RL Security

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $320,000-$405,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5458420008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2eba405c-6c6

## Description

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

As a Security Engineer / Research Engineer in RL Security, you will work on keeping the reinforcement learning system secure as it scales.

**Key Responsibilities:**

- Design, build, and operate security controls for RL training systems and infrastructure

- Work across the stack (orchestration, environments, training, inference) as needed

- Review designs and code, find security problems, and fix them

- Build shared libraries and tooling for other RL engineers and researchers

- Develop observability to understand system behavior

- Collaborate with researchers and performance engineers to preserve training correctness and performance

- Write clear design documents

**Minimum Qualifications:**

- Strong software engineering skills in Python and a systems language (Rust, C++, or Go)

- Experience with large-scale distributed systems or security systems in production

- Understanding of security fundamentals

- Working knowledge of Linux, containers, and cloud infrastructure

- Experience debugging complex problems

- Ability to reason about tradeoffs between security, performance, and reliability

- Strong written communication

**Preferred Qualifications:**

- Experience with ML training or inference infrastructure at scale

- Infrastructure security experience (isolation, access control, networking, identity)

- Container orchestration (Kubernetes) and sandboxed code execution

- Building observability for large fleets

- Supporting research teams or fast-moving internal users

- Familiarity with reinforcement learning or large language model training

The annual compensation range for this role is $320,000-$405,000 USD.

## Skills

### Required
- Python
- Rust
- C++
- Go
- Linux
- containers
- cloud infrastructure
- security fundamentals

### Nice to have
- ML training
- inference infrastructure
- Kubernetes
- observability
- reinforcement learning

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5458420008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)