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Designs and maintains the infrastructure and APIs that power reinforcement learning for AI coding agents, focusing on reliability, scalability, and researcher productivity.
Designs and implements data-driven experiments to grow user acquisition, engagement, and monetization for AI-powered tools, collaborating with cross-functional teams.
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…
Builds and scales the infrastructure and data pipelines behind AI misuse detection systems, enabling researchers to train and deploy lightweight detection methods efficiently using Python and distributed systems.
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.
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.
Staff-level engineer on Anthropic's Capacity Engineering team building production systems to plan, measure, and optimize utilization across one of the largest AI infrastructure fleets in the industry. Work spans data pipelines (Python/BigQuery), Kubernetes-native observability (Prometheus/Grafana), capacity planning tooling, and cost attribution — with direct impact on eight-figure monthly spend a
The Technical Program Manager will lead cross-functional quote-to-cash initiatives, managing enterprise systems like CPQ, ERP, and billing to support Anthropic's scaling business. This role involves driving program execution, ensuring SOX compliance, and coordinating dependencies across engineering, finance, and GTM teams.
Lead a new team that detects and disrupts AI misuse for influence operations, state surveillance, and commercial spyware, building automated detection and conducting cross-platform investigations.
Lead a specialized threat intelligence team to detect and disrupt misuse of AI for chemical, biological, radiological, nuclear, and explosives threats, while engaging with government and scientific stakeholders.
Lead a team to detect, investigate, and disrupt exploitation of AI systems, including model distillation, fraud, and account abuse, while shaping detection systems and engaging with U.S. government partners.
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