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Build and maintain data pipelines and infrastructure to analyze AI's economic impact, including privacy-preserving systems and APIs for researchers and the public.
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…
Build full-stack tools and platforms that help AI researchers run experiments, collect feedback, and analyze results, accelerating safe and reliable AI development.
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.
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.
Oversee revenue accounting, ASC 606/326 compliance, AR processes, and month-end close for a fast-growing AI company.
Build and optimize low-level networking systems for AI workloads, interfacing accelerators with high-speed networks using kernel/user-space techniques like XDP, RDMA, and eBPF.
Build and operate AI-driven security systems for an AI company, including LLM-powered code analysis, automated vulnerability remediation, and threat modeling for novel agentic systems.
Leads the design vision for Star Trek Fleet Command, a top-grossing 4X mobile MMO, by directing teams to craft engaging player experiences, economies, and monthly content releases.
The Embedded Controls Intern will assist in developing and maintaining motor control firmware, simulations, and configuration tools for high-density electric motor drives. The role involves hands-on debugging, testing, and collaboration within a fast-paced engineering team using C++ and Python.
This role involves end-to-end full-stack development using TypeScript, Next.js, and PostgreSQL to build client-facing features for an AI-focused startup. The engineer will work directly with customers and contribute to engineering culture in a London-based team.
The Principal Data Engineer will lead the Data Enabling team at UCL, designing and implementing data flows and integrations to support analytics and business intelligence. The role involves working across on-premise and cloud environments using technologies like AWS, Azure, and Microsoft Fabric to modernize university data infrastructure.
Senior Full Stack Engineer owning features end-to-end on an AI-powered investment research platform, using TypeScript, Next.js, and PostgreSQL, shipping weekly in a London office.
Builds and maintains PHP/Python backend systems for processing commercial data from partners, improving integrations, automation, and real-time reporting.
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