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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Recruits security professionals for a high-stakes AI safety company, owning full-cycle hiring and partnering with security leaders to build specialized talent pipelines.
Enforces AI safety policies at Anthropic by reviewing flagged content for weapons, violence, and extremism, building automated enforcement systems and evals, and collaborating with Engineering and Policy teams to mitigate misuse of AI systems. Requires SQL for data analysis and experience in threat intelligence, policy enforcement, or counterterrorism.
Lead the Secure Frameworks team to build cryptographic, serialization, and authorization libraries that secure AI model development.
Designs and oversees the civil, structural, and architectural build of AI data centers, setting standards for high-density compute facilities across multiple U.S. and international sites.
Leads the strategy and execution of new AI products by bridging research breakthroughs with real-world applications, working closely with research teams to identify and ship frontier AI technologies.
The Red Team Engineer will conduct adversarial testing on Anthropic's AI systems to uncover vulnerabilities, simulate sophisticated threat actors, and develop automated testing frameworks. The role focuses on both traditional web security and novel AI-specific risks like model jailbreaking and agentic workflow exploitation.
Enforce Anthropic's Usage Policy by detecting and mitigating biological/chemical/radiological risks from AI misuse, investigating violations, and improving automated enforcement workflows in collaboration with Policy, Threat Intelligence, Data Science, and Engineering teams.
The Safeguards Enforcement Analyst will design and execute access control and identity verification policies to ensure safe and compliant AI product usage. This role involves managing operational enforcement workflows, collaborating with cross-functional teams, and navigating complex regulatory requirements.
The Safeguards Enforcement Analyst will design and execute workflows to detect and mitigate account takeover and credential abuse on Anthropic's AI platform. The role involves analyzing data to distinguish between compromised accounts and malicious actors while collaborating with engineering and policy teams to improve safety enforcement.
Safeguards Enforcement Analyst at Anthropic investigating ban evasion and recidivism on the account abuse team. Day-to-day involves analyzing large datasets with SQL to detect returning banned actors, building enforcement workflows and detection logic, partnering with engineering/data science on account-linking signals, and operationalizing controls for high-severity ban populations including chil
Own the fraud & scams enforcement program at an AI safety company—defining policy, building detection-to-enforcement pipelines, and setting operating models for a contractor bench to execute against. Core work spans payment fraud (chargebacks, disputes, card-testing), promotional abuse, and platform-mediated scams, using SQL and data analysis to drive investment decisions and control efficacy.
Enforce age-appropriate design policies by building automated detection systems and review workflows to keep underage users off AI products, while collaborating with engineering and policy teams to refine enforcement strategies.
The Safeguards Enforcement Analyst manages child safety content review workflows and collaborates with engineering and policy teams to detect and mitigate CSAM/CSEM risks in AI products. This operational role involves scaling enforcement systems, performing quality assurance, and handling escalations while working with sensitive content.
Review flagged content and execute enforcement actions to detect and mitigate misuse of Anthropic's AI systems for cyberattacks, malware development, and offensive exploitation, using SQL, Python, and generative AI tools.
Designs automated enforcement systems to detect and mitigate AI misuse (e.g., disinformation, election interference, surveillance) by analyzing flagged content, collaborating with engineering/data science teams, and shaping policy based on real-world enforcement scenarios.
Leads security due diligence and integration for AI company’s acquisitions, assessing pre-close security posture, writing risk reports, and post-close onboarding of acquired systems to Anthropic’s security standards. Focuses on M&A security playbook formalization, automation, and collaboration with stakeholders across corporate, legal, and engineering teams.
Audits platform security across hardware, firmware, bootloaders, and attestation systems to identify and eliminate vulnerabilities before production. Requires deep expertise in secure boot, TPM/Intel TXT/AMD SEV/ARM TrustZone, low-level programming (C/Assembly), and the ability to own findings through to verified remediation in AI infrastructure.
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