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
Currently tracking 124 active AI roles, with 106 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $405k).
Anthropic has 145 active AI-related job listings. The majority of these roles are focused on agents, comprising 28% of the total. Engineering is the most frequent function, with 74 listings, followed by Research with 51. The company is primarily hiring in the United States, with 118 positions, and the United Kingdom, with 22. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deployment and evaluation of AI systems. In the last 30 days, Anthropic posted 16 new AI roles, a 47% decrease compared to the previous 30-day period.
Anthropic currently has 132 active AI-related roles in our index. The most common open titles are: Applied AI Architect, Industries (2), 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). Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (28%), serving infrastructure (17%), post-training (14%). 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 (106 roles), United Kingdom (20 roles), Canada (6 roles), Ireland (5 roles).
Job postings at Anthropic most frequently reference: model serving, evals, llm observability, agent orchestration, inference infra.
In the past 30 days, Anthropic has posted 29 new AI-related roles. That is a +61% change versus the prior 30 days (18 → 29).
| Title | Stage | AI score |
|---|---|---|
| Research Engineer, Science of Scaling Research Engineer/Scientist on the Science of Scaling team, focused on developing next-generation large language models. The role involves research at the intersection of cutting-edge research and practical engineering, contributing to safe, steerable, and trustworthy AI systems. Responsibilities include research into the science of converting compute into intelligence, leading research projects, designing and analyzing experiments, optimizing training infrastructure, and developing dev tooling. Requires significant software engineering experience, proficiency in Python and deep learning frameworks, and a results-oriented approach. Strong candidates may have experience with JAX, reinforcement learning, high-performance ML systems, accelerators, Kubernetes, OS internals, transformer architectures, large-scale ETL, and distributed training at scale. | Pretrain | 10 |
| Research Engineer, Pretraining |
| 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 |
| 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 |
| 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 |
| Applied AI Architect (Public Sector) Pre-sales architect for Anthropic's Claude LLM, focusing on UK and Northern Europe public sector clients. The role involves understanding customer needs, architecting LLM solutions, guiding integration, and ensuring compliance with public sector constraints. It requires strong technical and customer-facing skills, with an emphasis on safety and reliability. | Agent | 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 |
| Policy Counsel, EMEA This role focuses on supporting public policy and legal initiatives at the intersection of AI technology and regulation. The Policy Counsel will work cross-functionally to navigate emerging policy challenges and advocate for frameworks that promote responsible AI development. Responsibilities include supporting the development of AI governance frameworks, monitoring regulatory developments, providing legal analysis, and partnering with technical teams on policy guidance. | — | 5 |
| Software Engineer, Safeguards Foundations (Internal Tooling) Software Engineer focused on building and maintaining internal tooling for AI safety and human review processes at Anthropic. This role involves creating case management, labeling, investigation, and enforcement interfaces for analysts, directly impacting the speed and accuracy of identifying harmful behavior and feeding signal back into model training. The position emphasizes product-minded development for internal users, backend services, and integrating with detection and enforcement systems, with a strong focus on guardrails and metrics. | Ship | 5 |
| Partner Enablement Lead, System Integrators This role focuses on building and scaling enablement programs for system integrators to help them build, sell, and deliver solutions using Claude. It involves defining strategy, creating content, and driving partner readiness and certification outcomes. While it works closely with Applied AI and Product teams, the core function is partner enablement and GTM strategy, not direct AI/ML development. | — | 5 |
| Customer Success Manager, Beneficial Deployments, EMEA Customer Success Manager for Anthropic's Beneficial Deployments team in EMEA, focusing on mission-driven organizations. The role involves understanding customer needs, guiding them on using Claude's capabilities (API, Enterprise, Code), driving adoption, optimizing use cases for social impact, and demonstrating value. Requires technical fluency in AI/ML concepts and experience with both consumption-based and seat-based business models. | — | 5 |
| Applied AI Architect, Industries Pre-sales architect role focused on helping large enterprises understand and integrate Anthropic's Claude LLM into their technology stack. The role involves acting as a trusted technical advisor, architecting solutions, developing evaluations, and guiding customers from discovery to deployment. | Agent | 5 |
| Field Marketing Lead, Industries - EMEA This role is for a Field Marketing Lead responsible for building and scaling field marketing and demand generation programs across EMEA for Anthropic, an AI company. The focus is on driving pipeline and revenue growth in partnership with Sales and Marketing teams, adapting strategies for diverse European markets and regulatory frameworks. The role involves creating and executing marketing programs, establishing measurement frameworks, managing budgets, and collaborating cross-functionally. | — | 5 |
| 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 |
| Policy Counsel, EMEA This role focuses on legal and policy aspects of AI regulation in EMEA, supporting the development of AI governance frameworks and advocating for responsible AI development. It requires a law degree and experience in policy, regulatory, or government affairs work, with a strong understanding of AI concepts to translate them into policy contexts. | — | 0 |
| Enterprise Account Executive, Manufacturing Enterprise Account Executive focused on selling Anthropic's AI productivity API and SaaS solutions to manufacturing organizations in EMEA. The role involves driving adoption, securing deals, and collaborating with internal teams to refine value proposition and market positioning. Responsibilities include winning new business, designing sales strategies, identifying use cases, navigating complex stakeholder ecosystems, and informing product roadmaps. | — | 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 |
| Account Executive, Beneficial Deployments (Spanish Speaking) This role is for an Account Executive focused on selling Anthropic's AI products to nonprofit organizations in the EMEA region. The role involves driving adoption, securing partnerships, and generating revenue by helping nonprofits leverage AI for their operations. It requires deep understanding of the nonprofit landscape, navigating regulatory frameworks, and building relationships across diverse markets, with a strong emphasis on Spanish-speaking contexts. | — | 0 |
| Account Executive, Beneficial Deployments (French Speaking) This role is for an Account Executive focused on selling Anthropic's AI products to nonprofit organizations in EMEA. The role involves driving adoption, securing partnerships, and managing the full sales cycle, with a strong emphasis on understanding diverse nonprofit landscapes, regulatory frameworks, and data protection requirements like GDPR. Fluency in French is required. | — | 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 |