Skip to content
AnthropicAnthropicSan Francisco, CA

Red Team Engineer, Safeguards

Red Team Engineer on Anthropic's Safeguards team performing adversarial testing and full kill-chain attacks on AI products to uncover vulnerabilities, jailbreaks, and novel abuse vectors before malicious exploitation. Requires strong pen-testing, red teaming, and LLM-specific security experience.

320k – 405k
Remote5+ YOESecurity Engineering

About the role

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.

Compensation

Annual Salary: $320,000—$405,000 USD

Education

  • 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.

Skills

Penetration TestingRed TeamingApplication SecurityModel JailbreakingPrompt InjectionBurp SuiteMetasploitWeb Application SecurityLlm Testing FrameworksAdversarial Machine LearningApi SecurityDistributed Systems Security
Anthropic

Platform Security Engineering, Operating Systems

AnthropicSan Francisco, CA +2

Hardens and secures the OS layer for Anthropic's AI infrastructure, designing kernel-level protections, runtime enforcement, attestation, and isolation for large-scale model training environments. Requires deep Linux kernel expertise, C/systems programming, and OS security experience.

320k – 405k
Hybrid5+ YOESecurity Engineering
Anthropic

Software Engineer, Account Abuse

AnthropicSan Francisco, CA

Build systems to detect and prevent account abuse by analyzing signals at scale, integrating vendor data, and creating monitoring tools. Requires 3+ years experience in software engineering focused on fraud/abuse, proficiency in Python/SQL.

320k – 405k
Hybrid3+ YOESecurity Engineering
Anthropic

Software Engineer, Safeguards

AnthropicSan Francisco, CA +1

Build safety mechanisms for AI systems including monitoring for unwanted behaviors, abuse detection, and enforcement tools. Requires 5+ years software engineering experience, Python/TypeScript proficiency, and preferably trust/safety expertise.

320k – 425k
Hybrid5+ YOESecurity Engineering
OpenAI

Software Engineer, Security Observability

OpenAISan Francisco, CA +2

Build scalable systems and data pipelines for security observability, enhancing detection, forensics, and compliance. Requires strong engineering in Python/Golang, Terraform, Azure, and data pipelines with a generalist SRE mindset.

325k – 405k
RemoteSecurity Engineering
Anthropic

Security Engineer, Detection & Response

AnthropicSan Francisco, CA +3

Lead detection and response engineering efforts, building tooling and processes to monitor threats, investigate incidents, and coordinate responses across Anthropic's technology stack. Requires 5+ years in detection engineering, incident response, or threat hunting.

300k – 405k
Hybrid5+ YOESecurity Engineering