Red Team Engineer, Safeguards

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Safeguards team works to ensure the safety of deployed AI systems and products by taking an adversarial approach to uncover vulnerabilities across the product ecosystem before they can be exploited. This role focuses on broader safety implications and novel abuse unique to advanced AI systems, spanning technical infrastructure vulnerabilities to emergent risks from advanced capabilities.

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 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

Requirements

• 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

Compensation

• Annual Salary: $320,000 - $405,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Location: Remote-friendly with San Francisco, CA as a listed office; travel required
• Location-based hybrid policy: staff expected to be in one of Anthropic's offices at least 25% of the time
• Visa sponsorship: Anthropic states they sponsor visas and retain an immigration lawyer to assist (subject to role/candidate suitability)

How we're different

Anthropic emphasizes large-scale research as a single cohesive team working on a few high-impact research efforts. The company values impact, collaboration, and strong communication skills. Reading recent research is suggested to understand current directions.

Application notes

• Candidates are encouraged to apply even if they do not meet every qualification
• Guidance on candidate AI usage and other application details are provided on Anthropic's careers site