Anthropic

Anthropic

As a Regional Research Economist, you will collaborate with governments, academia, industry, and civil society to measure and understand AI's economic effects and explore policy interventions. You will contribute to the Anthropic Economic Index, developing new methodologies to assess AI's usage, diffusion, and impact, and broadening access to these insights. This role involves using advanced econometrics, machine learning, and structural estimation to drive impact on policy discussions and inform Anthropic's business and product strategies. The team focuses on rigorous empirical methods and novel measurement approaches, building datasets to track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving system to analyze real-world AI interactions.

Anthropic

Anthropic is seeking a Research Engineer to join its Pretraining team, focusing on developing the next generation of large language models. This role operates at the intersection of cutting-edge research and practical engineering, aiming to build safe, steerable, and trustworthy AI systems. The mission is to ensure that transformative AI systems are aligned with human interests and are beneficial for society. The team is dedicated to pushing the boundaries of AI while prioritizing safety and ethics.

Anthropic

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Anthropic

Anthropic's ML Performance and Scaling team is responsible for training our production pretrained models, a critical function that directly shapes the company's future and its mission to build safe, beneficial AI systems. As a Research Engineer on this team, you will ensure our frontier models train reliably, efficiently, and at scale. This demanding, high-impact role requires deep technical expertise and a passion for large-scale ML systems, operating at the boundary between research and engineering. You will work across the entire production training stack, including performance optimization, hardware debugging, experimental design, and launch coordination, responding to critical production issues during launches.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. As a Research Engineer on the Alignment Science team in London, you will design and execute machine learning experiments to understand and steer the behavior of advanced AI systems. You will focus on AI safety, particularly risks from future human-level AI systems, collaborating with teams like Interpretability and Frontier Red Team. The role involves exploratory research in areas such as AI Control and Alignment Stress-testing, aiming to make AI helpful, honest, and harmless.

Anthropic

AI Reliability Engineering (AIRE) partners with teams across Anthropic to improve reliability across our most critical serving paths, from SDKs through our network, API layers, serving infrastructure, and accelerators. This role involves jumping into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, whether during an incident or collaborating on projects. Reliability is viewed as an emergent phenomenon that transcends single team boundaries, requiring a holistic perspective across the entire system.

Anthropic

Anthropic is seeking software engineers to build foundational systems for AI safety, oversight, and intervention mechanisms. In this role, you will focus on monitoring models, preventing misuse, and ensuring user well-being by developing systems to detect unwanted model behaviors and disallowed use cases. You will apply your technical expertise to uphold principles of safety, transparency, and oversight, contributing to the development of reliable, interpretable, and steerable AI systems.

Anthropic

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths, from the SDK through our network, API layers, serving infrastructure, and accelerators. This role involves jumping into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, requiring someone to zoom out and look at the whole picture, offering dynamic, cross-cutting exposure to the systems that matter most.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Anthropic

Anthropic is seeking an experienced VAT/GST professional to join its growing Tax team in Dublin. This role will manage and advise on all indirect tax matters outside the United States, covering Europe, the UK, APAC, and other international markets. You will collaborate with the Global Indirect Tax team, compliance Lead, and the broader tax team to develop and execute the international VAT/GST strategy as AI products scale globally. This is an opportunity to build out the international indirect tax function from the ground up, partnering cross-functionally with Finance, Accounting, Legal, Product, and Go-to-Market teams to integrate tax considerations into global operations.

Anthropic

As an Applied AI team member at Anthropic India, you will serve as a Pre-Sales architect, becoming a trusted technical advisor to large enterprises across India and the Asia-Pacific region. Your role will involve helping these organizations understand the value of Claude and envision how to successfully integrate and deploy it into their technology stacks. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding Anthropic's high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evaluations, and design scalable architectures.

Anthropic

As a Partners Solutions Architect on the Applied AI team, you will be a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners. Your role will involve strengthening these relationships to accelerate indirect revenue, enable partner AI practices, and execute long-term go-to-market strategies. You will act as a technical thought partner, providing expertise to understand the partner landscape, drive strategic programs, and identify opportunities to deepen partner technical capabilities. This includes embedding with partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic's offerings, and serve as an escalation point for complex technical issues.

Anthropic

As an Applied AI Architect on the Startups team, you will be an exceptional technical partner to founders and engineers, helping them successfully build on the Claude Developer Platform. You'll combine deep technical expertise with a builder-first mindset to guide startups in architecting innovative LLM solutions, winning technical evaluations, and maximizing the value of Anthropic's AI systems. Working closely with sales, product, and engineering teams, you will guide startups from initial technical discovery through successful deployment and beyond, helping them understand Claude's capabilities and design effective architectures.

Anthropic

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As the company expands into owned facilities and colocation, the Platform Security Engineering (PSE) team is taking on critical security responsibilities previously handled by cloud providers. This includes ensuring firmware integrity, boot chain verification, platform trust, and host hardening for Anthropic's training and inference workloads. We are seeking an Engineering Manager to lead a team of platform security engineers focused on firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. In this hands-on management role, you will define the team's roadmap, foster team growth, and be accountable for the security posture of Anthropic's compute platforms. This involves deep understanding from silicon root of trust through firmware, bootloader, kernel, and host software, requiring collaboration with internal infrastructure, fleet, and compute teams, as well as external silicon vendors, OEMs, and compute providers.

Anthropic

Anthropic's RL Data Platform team is responsible for building the systems that generate, process, and serve the human data used to train Claude. This involves creating interfaces for human feedback, developing pipelines to transform raw feedback into training signals, and providing tools for researchers to launch, monitor, and analyze data collection efforts. The team ensures a consistent supply of high-quality data, enabling researchers to collect new data types rapidly and integrate them into the training process. This is a full-stack, ownership-driven role on a senior team, requiring the engineer to design and implement web interfaces for annotators, build backend services and data pipelines, and collaborate closely with RL researchers to define and fulfill data requirements. The role emphasizes building for reliability, treating researchers as users, and ensuring the quality of the data produced.

Anthropic

Anthropic's RL Data Platform team is responsible for building and maintaining the systems that generate, process, and serve the human data used to train Claude. This involves creating interfaces for human feedback, developing pipelines to transform raw feedback into training signals, and providing tooling for researchers to manage data collection. The role is full-stack and requires ownership of projects from conception to production, focusing on reliability and user experience for both annotators and researchers. You will design and implement web interfaces, backend services, and data pipelines, working closely with researchers to understand and fulfill their data needs.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As the Data Operations Manager, you will be instrumental in building and scaling data operations for research teams focused on frontier AI capabilities. This role involves partnering with researchers to define and execute data strategies, managing vendor relationships, and overseeing the entire data pipeline from inception to production. While a strong understanding of what constitutes high-quality training data is important, the primary focus will be on strategic planning and execution to ensure the data operations directly contribute to model performance in critical areas like tool use accuracy, prompt injection robustness, and safety alignment.

Anthropic

Join Anthropic's Customer Success team in a high-impact role driving AI adoption across strategic Digital Native Business (DNB) accounts. As a dedicated Enterprise Customer Success Manager for a global technology leader, you will be their strategic partner and trusted advisor, helping them harness the full potential of Anthropic's Claude capabilities. You will work with key partners to actively deploy AI, developing genuine partnerships, understanding their business objectives, strategic direction, AI vision, and technical needs. You will serve as a strategic advisor, helping customers identify the right Claude capabilities for their business objectives, providing best practices, and supporting their growing usage. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment. The insights you gather will directly inform Anthropic's research priorities, product development, and go-to-market strategies.