Find your next AI-scored role.

Senior Staff Software Engineer at Anthropic building the Claude API platform. Drives multi-year technical strategy across API Core, Capabilities, Knowledge, Distributability, and Agents teams. Partners with Research, Inference, and Infrastructure to ensure reliable, scalable access to Claude for developers and enterprises.

Senior Software Security Engineer at Anthropic building identity, secrets management, and cloud security controls for AI training infrastructure. Focus on cryptographic foundations, developer security, and supply chain hardening across multi-cloud environments.

Senior+ Software Engineer at Anthropic building research tools and infrastructure for AI safety teams. Full-stack role focused on experiment orchestration, human feedback interfaces, and visualization platforms that accelerate researcher productivity.

Senior Software Engineer at Anthropic building inference infrastructure to serve Claude at scale. Responsible for request routing, fleet orchestration, and optimization across diverse AI accelerators and cloud platforms.

Security Engineer, Detection & Response at Anthropic building incident response and threat detection systems. Role involves developing detection tooling, investigating security incidents across cloud and Kubernetes environments, and coordinating response efforts with engineering teams.

Research Product Manager at Anthropic defining Claude's behaviors and alignment. Partner with finetuning and research teams to shape model character, prioritize behavioral improvements, and accelerate shipping well-aligned models.

Research Engineer at Anthropic working on the Science of Scaling team to develop next-generation large language models. Role spans research and engineering across training infrastructure, algorithm design, and experimental optimization for safe, steerable AI systems.

Research Engineer at Anthropic building large-scale ML systems for safe, steerable AI. Work spans infrastructure, training optimization, scientific experiments, and tooling across the full stack.

Research Engineer/Scientist on Anthropic's Audio team building speech and audio models. Work across audio ML stack including codecs, speech language models, diffusion models, and conversational AI systems.

Research Engineer at Anthropic working on pretraining for large language models. Focus on model architecture, training infrastructure optimization, and scaling distributed systems while advancing AI safety and alignment.

Research Engineer at Anthropic building data infrastructure for economic research on AI's impact. Designs and maintains data pipelines processing Claude usage logs, privacy-preserving tools, and systems leveraging language models to support research and policy insights.

Prompt Engineer at Anthropic building system prompts, evaluations, and infrastructure for Claude products. Role bridges model capabilities and product experience across consumer and API surfaces, requiring 5+ years software engineering and demonstrated LLM/prompt engineering expertise.

Product Manager, Consumer at Anthropic building AI products for millions of daily users. Leads 0-to-1 product development from research to shipped consumer products, working cross-functionally with researchers and engineers on frontier AI capabilities.

Product Manager for Claude Code at Anthropic, driving the evolution of AI-assisted developer tools. Combines product strategy, technical depth, and cross-functional collaboration to shape how developers interact with AI coding assistants.

Product Manager for Research at Anthropic, owning ideation and deployment of new AI models and products. Works with research teams to productize frontier AI technology and identify high-impact use cases grounded in customer needs.

Platform Hardware Security Engineer at Anthropic designing and implementing security architectures for bare-metal infrastructure. Focus on firmware, bootloaders, OS initialization, and attestation systems for AI training infrastructure.

GPU Performance Engineer at Anthropic building foundational systems for Claude inference and training. Focus on GPU optimization, kernel development, and distributed systems at scale.

Performance Engineer at Anthropic optimizing throughput and robustness of large-scale distributed ML systems. Focus on GPU programming, ML framework internals, and systems-level performance tuning for language models.

Partner Solutions Architect at Anthropic focused on technical partnerships with system integrators and cloud providers. Drives GTM strategy, enables partner AI practices, and supports customer deal execution through solution architecture and technical enablement.

Manager of Solutions Architecture, Applied AI at Anthropic. Lead a pre-sales team helping Fortune 500 companies adopt Claude and other AI products. Requires 7+ years pre-sales experience and 3+ years management background.

Machine Learning Systems Engineer on Anthropic's Reinforcement Learning Engineering team, building algorithms and infrastructure for training Claude models. Focus on improving performance, robustness, and usability of RLHF and related training systems.

Machine Learning Systems Engineer at Anthropic building tokenization and encoding infrastructure for pretraining and finetuning workflows. Focus on optimizing data pipelines, implementing tokenization algorithms, and enabling research teams to experiment with novel approaches.

Legal Operations Specialist at Anthropic building tooling and workflows for the legal team. Role spans coordination of AI tooling roadmap, building no-code solutions (Claude Projects, AppSheet, Slack workflows), and driving adoption across the legal organization.

Infrastructure Engineer at Anthropic building distributed systems for secure sandboxed execution environments. Focus on backend infrastructure, container orchestration, and security isolation to support AI research at scale.

Head of Solutions Architects, Applied AI at Anthropic, leading the Korea team. Responsible for building and managing pre-sales technical teams, driving enterprise AI adoption of Claude products, and establishing regional best practices.