Red Team Engineer, Safeguards

Details

Anthropic’s Safeguards team is seeking a Red Team Engineer to help ensure the safety of deployed AI systems and products. The role takes an adversarial approach to uncovering vulnerabilities across Anthropic’s product ecosystem before they can be exploited by malicious actors. Work spans technical infrastructure vulnerabilities, advanced AI capabilities, coordinated account manipulation, payment fraud, novel product-feature exploitation, and sophisticated threat actors chaining multiple attack vectors.

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 pursuing specific malicious objectives.
• Build and maintain systematic testing methodologies to evaluate every aspect of Anthropic’s systems.
• Develop automated testing frameworks for continuous assessment at scale.
• Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements.
• Help establish metrics for measuring the effectiveness of detection for novel abuse.

Requirements

• Experience in penetration testing, red teaming, or application security.
• Experience with model jailbreaking and testing large-scale agentic workflows for non-obvious prompt-injection vectors.
• Strong technical skills in web application security, including hands-on experience with security testing tools such as Burp Suite, Metasploit, and custom scripting frameworks.
• Experience building custom automation, including LLM-specific testing frameworks.
• A track record of discovering novel attack vectors and creatively chaining vulnerabilities.
• 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.
• A bachelor’s degree or equivalent combination of education, training, and experience. The field of study must be relevant to the role as demonstrated through coursework, training, or professional experience.

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.
• Experience testing business-logic vulnerabilities and authorization-bypass techniques.
• Background in anti-fraud, trust and 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 the candidate’s direct area of expertise.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration. The role is remote-friendly, with travel required. Anthropic currently expects staff to be in one of its offices at least 25% of the time, although some roles may require more office time.