# Research Engineer, Cybersecurity RL

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $500,000 - $850,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5459191008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/research-engineer-cybersecurity-rl-e63996a8-ad6/

## Description

## Job Overview

We are seeking a Research Engineer for our Cybersecurity RL team within the Horizons department at Anthropic. As a Research Engineer, you will help advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role combines research and engineering, requiring you to develop novel approaches and implement them in code.

## Responsibilities

- Design and implement RL environments

- Conduct experiments and evaluations

- Deliver work into production training runs

- Collaborate with researchers, engineers, and cybersecurity specialists

## Requirements

- Experience in cybersecurity research

- Experience with machine learning

- Strong software engineering skills

- Ability to balance research exploration with engineering implementation

- Passionate about AI's potential and committed to developing safe and beneficial systems

## Nice to Have

- Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work

- Experience participating in or building CTF competitions and cyber ranges

- Academic research experience in cybersecurity

- Familiarity with RL techniques and environments

- Familiarity with LLM training methodologies

## Logistics

- Annual salary: $500,000 - $850,000 USD

- Minimum education: Bachelor’s degree or equivalent

- Required field of study: Relevant to the role

- Location-based hybrid policy: 25% office time

- Visa sponsorship: Available

## Benefits

- Competitive compensation and benefits

- Optional equity donation matching

- Generous vacation and parental leave

- Flexible working hours

- Lovely office space

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## Skills

### Required
- cybersecurity
- machine learning
- software engineering
- RL techniques

### Nice to have
- security engineering
- fuzzing
- detection and response
- CTF competitions
- cyber ranges
- academic research experience in cybersecurity
- LLM training methodologies

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5459191008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)