Anthropic is hiring a Red Team Engineer for its Safeguards team to help ensure the safety of deployed AI systems and products. The role focuses on adversarial testing, identifying vulnerabilities and abuse risks, building testing methodologies and automation, and translating findings into improvements.

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

Skills

• 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
• Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• 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

Benefits

• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• A lovely office space in which to collaborate with colleagues

Company Overview

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