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Build AI-powered cybersecurity products by prototyping new ideas, iterating with customer feedback, and collaborating with research teams to develop model capabilities for security applications.
Anthropic seeks an Applied AI Engineer to advise enterprise customers on deploying Claude AI models, guiding technical architecture, and supporting product development from discovery to deployment, blending engineering expertise with customer-facing collaboration.
Research Engineer in cybersecurity RL to design RL environments, run experiments, and deploy defensive AI models for secure coding and vulnerability remediation.
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…
The Technical Program Manager will lead the end-to-end execution of data center infrastructure programs, from construction through to production operations. This role involves managing cross-functional teams, overseeing vendor partnerships, and developing scalable playbooks to support the company's growing compute footprint.
Build full-stack tools and platforms that help AI researchers run experiments, collect feedback, and analyze results, accelerating safe and reliable AI development.
The Technical Program Manager for Security will lead cross-functional security initiatives, coordinating between engineering, infrastructure, and compliance teams to ensure Anthropic meets its Responsible Scaling Policy commitments. The role involves managing complex security deployments, defining program metrics, and communicating progress to leadership.
The Security Engineer will lead incident response efforts and develop detection tooling, potentially leveraging LLMs, to monitor and protect Anthropic's AI infrastructure. This role involves cross-functional collaboration and participation in an on-call rotation within a hybrid work environment.
Lead a team building automated compliance and risk-management systems at an AI company, integrating data across cloud, identity, HR, and engineering tools while using AI agents to scale evidence collection and audit workflows.
Build and maintain scalable data pipelines and models to power company-wide analytics, transforming raw logs into reliable metrics and dashboards using dbt, Airflow, SQL, and Python.
Builds and maintains AI safety systems to detect misuse, enforce policies, and prevent harmful outputs across Anthropic's products, using Python, TypeScript, and distributed systems at scale.
Recruit AI research talent for a startup building safe, interpretable AI systems, partnering with hiring managers to scale a world-class research team.
Build and operate Anthropic’s large-scale distributed systems (Kubernetes, databases, observability) that power AI model training and serving, while leading multi-month infrastructure projects and setting technical standards.
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