# Red Team Engineer, Safeguards

**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/5320469008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_de471ace-1d3

## Description

Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products.

In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors.

Key responsibilities:

- Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques

- Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms

- Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives

- Build and maintain systematic testing methodologies that evaluate every aspect of our systems

- Develop automated testing frameworks to enable continuous assessment at scale

- Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements

- Help establish metrics for measuring detection effectiveness of novel abuse

Minimum qualifications:

- Experience in penetration testing, red teaming, or application security

- Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors

- Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)

- Experience building custom automation, including LLM-specific testing frameworks

- A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways

- A public body of work such as CVEs, blog posts, or disclosed bug bounty reports

- Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences

Preferred qualifications:

- Experience with AI/ML security or adversarial machine learning

- Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks

- Experience testing API security and rate-limiting systems

- Background in testing business logic vulnerabilities and authorization bypass techniques

- Background in anti-fraud, trust & safety, or abuse prevention systems

- Familiarity with distributed systems and infrastructure security

- Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses

- Adaptability to understand and build engagements around emerging threats outside your direct area of expertise

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

## Skills

### Required
- penetration testing
- red teaming
- application security
- model jailbreaking
- web application security
- security testing tools
- custom automation
- LLM-specific testing frameworks

### Nice to have
- AI/ML security
- adversarial machine learning
- API security
- rate-limiting systems
- business logic vulnerabilities
- authorization bypass techniques
- anti-fraud
- trust & safety
- abuse prevention systems
- distributed systems
- infrastructure security
- abuse detection mechanisms

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5320469008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)