Anthropic
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2021
- Size
- 1,500+
- Website
- anthropic.com
- Blog
- anthropic.com
Products
AI Frontier · AI lab
Anthropic currently has 151 active AI-related job listings, with a significant focus on roles related to agents, which constitute 32% of their openings. Engineering is the most frequent function, followed by Research. The majority of their hiring is concentrated in the United States. Frequent technical tags include evals, model_serving, and agent_orchestration, suggesting a focus on the practical deployment and management of AI systems.
Currently tracking 127 active AI roles, down 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $406k).
Anthropic currently has 149 active AI-related roles in our index. The most common open titles are: Regional Research Economist, Economic Research (2), Research Engineer, Machine Learning (RL Velocity) (2), Research Engineer, Production Model Post-Training (2), Staff Software Engineer, AI Reliability Engineering (2), Product Manager, Safeguards Rare Harms. Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (31%), serving infrastructure (15%), post-training (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Anthropic is hiring AI talent in: United States (130 roles), United Kingdom (18 roles), Canada (6 roles), Ireland (3 roles).
Job postings at Anthropic most frequently mention: Machine Learning, AI Safety, Production ML Systems, System Design, Large Language Models (LLMs).
In the past 30 days, Anthropic has posted 32 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Engineer, RL Scaling Science Research Engineer focused on scaling Reinforcement Learning (RL) for frontier models. Designs and runs large-scale RL experiments to understand and resolve bottlenecks, builds benchmarks for long-horizon progress, and ships validated findings into production training recipes. Operates at the research/engineering boundary. | Post-trainPretrain | 10 |
| Research Engineer, Pretraining Research Engineer focused on pretraining large language models, involving research into model architecture, algorithms, data processing, and optimizers, along with scaling training infrastructure and analyzing experiments. The role contributes to the entire stack from low-level optimizations to high-level model design. |
| Pretrain |
| 10 |
| Research Engineer, Machine Learning (Reinforcement Learning) Research Engineer focused on Reinforcement Learning to advance capabilities and safety of large language models. This role involves implementing novel approaches, contributing to research direction, and creating agentic models for tasks like computer use and autonomous software generation, while also improving reasoning abilities and developing prototypes. Key responsibilities include architecting RL infrastructure, designing training environments and methodologies, driving performance improvements, and collaborating across teams. | AgentPost-train | 10 |
| Research Engineer, Machine Learning (RL Velocity) The RL Velocity team owns the efficiency and reliability of the RL Science stack, building and improving the core platform for RL training runs to remove bottlenecks and enable faster iteration. This role focuses on ML infrastructure, distributed systems, and research tooling to improve the velocity and reliability of RL training at scale. | DataPost-train | 9 |
| Anthropic Fellows Program — Reinforcement Learning This is a research fellowship program focused on Reinforcement Learning (RL) within AI safety. Fellows will work on empirical projects, potentially using external infrastructure, with the goal of producing public outputs like paper submissions. The program emphasizes mentorship from Anthropic researchers and provides a stipend and compute funding. Key activities include building model-based tools for data quality, understanding generalization, and creating RL environments for capabilities and safety tasks. | Post-train | 9 |
| Anthropic Fellows Program — AI Safety This is a research fellowship program focused on AI safety, aiming to foster talent in empirical AI research. Fellows will work on projects aligned with Anthropic's research priorities, using external infrastructure and external models, with the goal of producing public outputs like paper submissions. Key research areas include Scalable Oversight, Adversarial Robustness and AI Control, Model Organisms, Model Internals / Mechanistic Interpretability, and AI Welfare. | Post-train | 9 |
| Anthropic Fellows Program — AI Security This is a research fellowship program focused on AI safety and security, aiming to produce public outputs like paper submissions. Fellows will use external infrastructure and open-source models, working on empirical projects with mentorship from Anthropic researchers. | Post-train | 9 |
| Anthropic Fellows Program Anthropic's Fellows Program offers a 4-month full-time research opportunity focused on AI safety and related areas. Fellows will use external infrastructure and open-source models to conduct empirical projects, aiming for public outputs like paper submissions, with mentorship from Anthropic researchers. The program is designed to foster AI research and engineering talent, regardless of previous experience, and emphasizes safety, interpretability, and steerability of AI systems. | Pretrain | 9 |
| Research Engineer, Pretraining Scaling - London Research Engineer focused on pretraining and scaling large language models, involving performance optimization, debugging, experimental design, and ensuring reliability of production training pipelines. The role is highly operational, requiring on-call incident response during model launches, and involves building and maintaining training infrastructure and codebase capabilities. | Pretrain | 9 |
| Research Engineer / Scientist, Alignment Science - London Research Engineer/Scientist focused on AI safety and alignment, conducting experimental research to understand and steer the behavior of powerful AI systems. The role involves testing robustness of safety techniques, running multi-agent RL experiments, building tooling for evaluating jailbreaks, and contributing to research papers. Collaboration with Interpretability, Fine-Tuning, and Frontier Red Team is expected. | Post-trainEval Gate | 9 |
| Anthropic Fellows Program — ML Systems & Performance This is a research fellowship program focused on AI systems and performance, with the goal of producing public outputs like paper submissions. Fellows will work on empirical projects, potentially involving building ML systems, data pipelines, or infrastructure for accelerators, using external infrastructure and open-source models. | Data | 8 |
| Technical Specialist, Claude Code This role focuses on driving adoption of Anthropic's Claude Code product within enterprise customers. It involves technical enablement, running workshops, supporting pilots, building demo applications, and gathering field feedback to inform product development. The role requires a strong technical voice and the ability to engage with developers and department leaders on AI coding tools and agentic workflows. | Agent | 7 |
| Regional Research Economist, Economic Research Research Economist focused on measuring and understanding AI's economic impact, developing new methodologies, and collaborating with external partners on policy interventions. Utilizes frontier econometrics, machine learning, and structural estimation methods. | Data | 7 |
| Anthropic Fellows Program — The Anthropic Institute Fellows (Economics & Policy) This is a research fellowship program focused on empirical projects related to AI's economic and societal impacts, with the goal of producing public outputs like research papers. Fellows will use external infrastructure and work with mentors to explore areas such as AI's economic effects, labor markets, and AI-enabled cyber/bio capabilities. | Data | 7 |
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer, AI Reliability Engineering at Anthropic. This role focuses on improving the reliability, robustness, and resilience of AI serving systems, specifically for large language models like Claude. Responsibilities include developing SLOs, designing monitoring and observability, assisting with high-availability infrastructure, leading incident response for critical AI services, and supporting the reliability of safeguard model serving. | Serve | 7 |
| Software Engineer, Safeguards Infrastructure Software Engineer focused on building foundational systems for AI safety, including infrastructure for data management, metric and evaluation systems, and tooling for human and agentic review. The role involves ensuring the day-to-day running of Safeguards systems and building robust, reliable multi-layered defenses for real-time improvement of safety mechanisms at scale. | Eval GateAgent | 7 |
| Engineering Manager, Connectivity - London Engineering Manager for the Connectivity team in London, responsible for leading a team that builds and maintains the infrastructure for AI agent tool use, including MCP proxy, OAuth, and token management. The role focuses on reliability, enterprise trust, and scaling these systems for Anthropic's products like Claude.ai. | — | 5 |
| Applied AI Security Architect This role is for an Applied AI Security Architect who will act as a trusted security expert for enterprise customers, focusing on security, compliance, networking, and data architecture for AI deployments in regulated industries across EMEA. The role involves engaging with CISOs and technical leaders to address concerns about deploying AI models safely and securely, ensuring compliance with European regulations like GDPR and the EU AI Act. | Ship | 5 |
| Staff Software Engineer, Node Infra Staff Software Engineer, Node Infra at Anthropic. This role focuses on owning the technical strategy and roadmap for node lifecycle management (ingestion, bring-up, health checking, automated repair) for AI clusters. It involves driving cross-team initiatives to scale AI clusters across multiple clouds and accelerator families, designing systems for hardware health and remediation, and defining infrastructure architecture. The role also requires close collaboration with cloud providers and internal teams on compute and infrastructure strategy, and establishing operational excellence practices. Requires deep expertise in distributed systems, reliability, cloud platforms, systems languages, and hands-on experience with ML accelerators. | — | 5 |
| Senior Staff+ Software Engineer, Kubernetes Platform Staff Software Engineer on the Kubernetes Platform team at Anthropic, responsible for owning, operating, and extending large-scale Kubernetes clusters (hundreds of thousands of nodes) used for training, research, and serving frontier AI models. This includes custom scheduling plugins, scaling the control plane, and building core cluster services. The role requires deep Kubernetes experience and a track record in production distributed systems. | Serve | 5 |
| Staff+ Software Engineer, Account Compromise Staff+ Software Engineer focused on account compromise detection, response, and remediation within Anthropic's Safeguards organization. This role involves setting technical direction, owning architecture, threat modeling, leading investigations, and building systems to protect users from account takeover, credential abuse, and compromised API keys. The position requires strong software engineering fundamentals, experience with security systems, and the ability to make critical architectural decisions in an adversarial domain. | — | 0 |
| Contracts Manager, EMEA This role is for a Contracts Manager in London, UK, supporting commercial and technology transactions across the EMEA region. The manager will review, draft, and negotiate contracts, collaborate with various internal teams (including Research), and help implement scalable contracting processes. The role requires substantive knowledge of software and SaaS agreements and experience managing the full contract lifecycle for technology transactions. | — | 0 |
| Staff+ Software Engineer, Developer Productivity This role focuses on improving the developer experience for engineers and researchers at Anthropic, a company developing AI systems. The engineer will own the technical strategy and roadmap for their area, design and build scalable distributed infrastructure, and evolve build environments and language ecosystem standards to enhance productivity in both research and production workloads. The role requires deep experience with build systems, CI/CD, developer tooling in a monorepo, and proficiency in Python, Rust, or Go. | — | 0 |
| Sales Manager, Nonprofit & Education, EMEA Sales Manager for Anthropic's Claude AI adoption in the nonprofit and education sectors across EMEA. This is a player-coach role responsible for building and leading a sales team, closing complex deals, and developing sales strategies tailored to mission-driven organizations. The role requires experience in the EMEA nonprofit/social impact technology landscape and navigating regulatory environments. | — | 0 |
| Sales Manager, Nonprofit & Education, EMEA Sales Manager for Anthropic's Claude AI adoption in the nonprofit and education sectors across EMEA. This is a player-coach role responsible for building and leading a sales team, closing complex deals, and developing sales strategies tailored to mission-driven organizations. The role requires experience in the EMEA nonprofit/social impact technology landscape and navigating regulatory environments. | — | 0 |
| Staff Infrastructure Engineer, Cluster Infrastructure Staff Infrastructure Engineer focused on building and scaling compute clusters for AI model training and inference. This role involves owning the technical strategy for agent-driven cluster lifecycle management, ensuring high-bandwidth connectivity, security, scalability, and fault tolerance. The engineer will collaborate with cloud providers and internal teams to shape long-term compute strategy and establish operational excellence practices. | — | 0 |
| Commercial Counsel, EMEA This role is for a Commercial Counsel in EMEA, supporting sales teams with complex deal negotiations and commercial activities. The counsel will provide strategic guidance on legal and regulatory considerations for AI deployment, draft and negotiate commercial agreements, and help build commercial legal infrastructure. The role requires a law degree, at least 4 years of legal experience, and comfort with technology transactions and fast-paced environments. Experience with AI/ML in commercial contexts is a plus. | — | 0 |