AnthropicSan Francisco, CABuild 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.
$320,000—$425,000 USD
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.
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.
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.
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.
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.