Anthropic jobs

Forward Deployed Engineer, Applied AI Boston, MA; New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY; Washington, DC 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you'll play a key role in championing

Engineering Manager, Safeguards Data Infrastructure New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly - and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organization access that data safely and ergonomically. As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements - and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies. Key responsibilities: - Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities - Own the strategy and execution for porting the safeguards offline

IT Systems Engineer, Enterprise SaaS Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role The Enterprise SaaS team owns the collaboration and productivity platforms every person at Anthropic touches every day - Google Workspace, Slack, and the surrounding ecosystem of enterprise tools. We're responsible for tenant-wide architecture, API-level integration, and the governance that keeps these platforms secure and scalable as the company doubles and doubles again. You'll make the architecture decisions that shape how thousands of people work: data governance for collaboration content, the application side of SSO and SCIM provisioning, and the integrations that fill gaps the vendors left open. You'll write Python against SaaS APIs where the admin console stops, and you'll be the final escalation tier when the vendor docs stop helping. The scope is the full collaboration stack - cloud infrastructure and endpoints live with separate teams, so this role goes deep rather than wide. If you've hit the ceiling of what the admin console can do and started solving problems in code, this is that job. You'll partner closely with IT Operations, Security, and the IAM team on the identity and access layer everything

Research Engineer, Pretraining Scaling San Francisco, CA 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack-from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and maintain

Senior Data Center Capacity Delivery Manager, AUS Sydney, Australia 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Key responsibilities - Lead. This is a role where leadership trumps management and process. You will be

Head of APAC Accounting Singapore 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an APAC Accounting Lead to build and run our regional Corporate Accounting function. This is the senior Controllership role for Asia Pacific, owning end-to-end accounting and finance operations for all APAC legal entities across Statutory Accounting and External Reporting, International Payroll, Procure to Pay, and regional Finance Systems. Reporting to the Head of International Accounting in Dublin, you will set the multi-year strategy for how we scale our financial control environment across the region, build and lead the team that delivers it, and act as the senior finance point of contact for APAC entity boards, external auditors, and outsourced service providers. This is a rare opportunity to define how a frontier AI company runs Controllership across one of its fastest-growing regions, with a mandate to use Claude and AI tooling to reimagine how

Analytics, Finance & Strategy San Francisco, CA 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by delivering the analysis and analytics infrastructure that shape how Finance & Strategy (F&S) understands Anthropic's business. In this unique company, technology, and moment in history, your work will directly inform how leadership navigates one of the fastest-growing businesses in the world. This is a role spanning data analysis, business intelligence and analytics engineering, partnering closely across several cross functional teams including Data Engineering, Data Science & Analytics, and Finance & Strategy. You will produce high-impact, high-visibility analyses that answer leadership's most pressing questions about the financial trajectory of the business-revenue drivers, margin dynamics, compute economics, customer segments, and the forces shaping our P&L. You'll also build the datasets, pipelines, and BI foundations that make those insights possible at scale and ensure every number the executive team sees is one they can trust. You've worked in cultures of excellence in the past and are eager to apply that experience to both the craft of analysis and the rigor

Enterprise Account Executive, System Integrators Tokyo, Japan 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive, System Integrators based in Tokyo, you'll be the critical link between Anthropic and Japan's leading system integrator ecosystem. You'll build and deepen strategic partnerships with major SIers - enabling them to confidently sell, implement, and support Anthropic's AI solutions within their own client portfolios. This is a high-impact, relationship-driven role that directly shapes how frontier AI reaches Japan's largest enterprises. Responsibilities: - Own and grow revenue generated through SIer channels by developing joint go-to-market strategies, co-selling motions, and enablement programs with Japan's top system integrators - Build and execute partner territory plans, identifying and prioritizing relationships across tier-1 and regional SIers - including firms across IT consulting, systems integration, and managed services practices - Lead strategic engagement with senior SIer leadership - including practice heads, solution architects, pre-sales directors, and partner managers - building the technical confidence and commercial alignment needed to close enterprise deals - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships, Marketing) to deliver enablement resources, joint solution frameworks, and go-to-market collateral that equips SIer partners to position and deploy Anthropic's AI solutions effectively - Act as the primary

Transaction Principal Tokyo, Japan 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Principal for Japan at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Japanese data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in Japan - you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets and Policy teams who own the Japan market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution in a market with unique regulatory, permitting, and power infrastructure dynamics. Japan presents a distinctive data center landscape: tight land availability in key metros, evolving grid infrastructure, significant government interest in domestic AI infrastructure, and a business culture that places high value on relationship-driven deal-making and long-term developer partnerships. You'll need to navigate these market-specific realities while executing at the pace Anthropic requires. Responsibilities - Lead the RFP and commercial sourcing process for Japanese data center deals, managing developer

Strategic Account Executive, Insurance New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to the Insurance industry, driving the adoption of safe, frontier AI. You'll leverage your consultative sales expertise in the Insurance sector to propel revenue growth while becoming a trusted partner to Enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with Insurance decision-makers. Responsibilities: - Win new business and drive revenue for Anthropic within the Insurance sector. Navigate complex institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to Insurance procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within Insurance departments, research centers,

Senior+ Software Engineer, Research Tools San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment-someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities - Build and maintain full-stack applications and infrastructure that researchers use daily to

Technical Program Manager, Research San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before. Note: This role may require responding to incidents on short-notice, including on weekends. Responsibilities - Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve - Move fluidly across research

Research Engineer, Pretraining Scaling - London London, UK 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: - Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability - Debug and resolve complex issues across the full stack-from hardware errors and networking to training dynamics and evaluation infrastructure - Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance - Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams - Build and

Support Engineer San Francisco, CA | New York City, NY | Seattle, WA 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts - embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed - and ensure the right internal teams are engaged when needed. Responsibilities - Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice - Own your customers' technical support needs end to end - investigate, diagnose, and resolve complex issues directly, and partner with internal Engineering and Product teams to drive resolution when needed - Build deep, durable context

Marketing Events Lead, Enterprise San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Enterprise Events Lead at Anthropic, you will own the development and execution of enterprise-focused events that accelerate pipeline, deepen customer relationships, and elevate Anthropic's brand presence with key enterprise audiences. You will be responsible for designing and delivering high-impact event experiences-from major industry conferences to hosted summits, and partner activations. In this role, you'll collaborate closely with Sales, Partnerships, Product Marketing, and Creative teams to ensure every event touchpoint reinforces Anthropic's position as a leader in safe, frontier AI. You'll bring a strategic mindset grounded in data, a talent for flawless execution under pressure, and the ability to translate complex enterprise goals into compelling in-person and hybrid experiences. This is a high-visibility role with significant cross-functional impact, ideal for someone who thrives at the intersection of strategy and logistics in a fast-moving environment. Responsibilities: - Lead the development and execution of enterprise events, aligning programs to pipeline generation, account engagement, and brand objectives - Manage a team of full time and contracted employees - Conceptualize and produce hosted events such as executive roundtables, customer summits, and intimate dinners that support

Beneficial Deployments Customer Success Manager, Scaled Partnerships San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's Beneficial Deployments team scales its customer base across Claude Enterprise, Claude Code, and our API, we need to extend world-class customer success to a broader segment of customers through innovative, scalable approaches. The Scaled CSM will pioneer digital-first and one-to-many customer engagements that drive adoption and further mission driven organizations impact, at scale. As a Scaled Customer Success Manager at Anthropic, you'll own the success of a broad portfolio of organizations who are committed to integrating AI to accelerate their impact. You'll walk alongside them through onboarding, early wins, and scaled adoption - helping them stand up durable enablement, upskilling, and change-management practices so that Claude becomes part of how their teams actually work. Your work will directly shape how we engage with our nonprofit organizations at scale while maintaining the personalized, high-value experience that defines Anthropic. You'll collaborate closely with our Beneficial Deployments Customer Success team to develop compelling content, with program leadership to co-develop engagement plans and surface learnings, with Product to channel customer insights, and with Customer Success leadership to continuously optimize our model.

Research Engineer / Scientist, Alignment Science - London London, UK 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: - AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. - Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment

Director, Infrastructure Compute Procurement San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking a Director of Infrastructure Compute Procurement to build and lead the function responsible for how Anthropic procures, tracks, and governs its compute infrastructure assets at scale. This is a function-building role within the Finance org. You will own supplier strategy, cost optimization, and category management for one of the largest and most complex capital procurement portfolios in AI. You will simultaneously operationalize three enterprise-scale initiatives: a multi-entity procurement structure spanning domestic and international jurisdictions, a compliance-critical Asset Lifecycle Management program and procurement operations for Anthropic data center sites across the US with international expansion underway. This role reports directly to the Head of Procurement and serves as the senior procurement leader embedded with Infrastructure Accounting, Finance, Tax, Legal, and DC Operations. You are building the team, the playbooks, and the systems that will govern billions of dollars in compute infrastructure spend. Key Responsibilities Supplier Strategy & Cost Optimization - Own key supplier relationships across compute hardware (networking, storage, racks, power infrastructure) and negotiate pricing frameworks, and volume commitments - Establish playbooks and sourcing strategies for hyperscale infrastructure procurement - Drive material savings

Amazon GTM Partnership, Startups San Francisco, CA | New York City, NY | Seattle, WA 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a candidate to drive our startup partnerships through Amazon/AWS. You'll own this key relationship, generate revenue opportunities, and work with senior leadership across both organizations to accelerate Anthropic's AI adoption for startups through AWS's global ecosystem. In this role, you'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Key responsibilities - Develop and execute a GTM strategy for Anthropic's startup ecosystem initiatives through the Amazon/AWS partnership, including co-selling motions, enablement programs, and joint business plans - Build and own forecasting, pipeline development, and revenue targets for the partnership - Cultivate and maintain executive-level relationships across the AWS organization - Drive strategic planning and execution of joint marketing and sales initiatives - Design and implement scalable processes for partnership operations, including escalation management and performance reporting - Provide market intelligence and competitive insights to inform product and business strategy - Develop and execute segment-specific sales plays and enablement programs for startup audiences - Participate in annual business reviews with key stakeholders across both organizations - Identify

Design Engineer, AI Capability Development (Education Labs) San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable-not just more engaged. This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability-and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones. We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow. You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking. Responsibilities: - Ship features that help users develop real skill

Research Engineer, Universes Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today - environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. About the Role We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability. Responsibilities: - Build the next generation of agentic environments - Build rigorous evaluations that measure real capability - Collaborate across research and infrastructure teams to ship environments into production training - Debug and iterate rapidly across research and production ML stacks - Contribute to research culture through technical discussions

Machine Learning Systems Engineer, Research Tools San Francisco, CA | New York City, NY | Seattle, WA 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable. Responsibilities: - Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows - Optimize encoding techniques to improve model training efficiency and performance - Collaborate closely with research teams to understand their evolving needs around data representation - Build infrastructure that enables researchers to experiment with novel tokenization approaches - Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline - Create robust testing frameworks to validate tokenization systems across diverse languages and data types - Identify and address bottlenecks in data processing

Research Engineer, Code RL (Reinforcement Learning) San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit,

Marketing Events Producer San Francisco, CA | New York City, NY 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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Producer on Anthropic's Events Marketing team, you will own the end-to-end production of our core events-from project kickoff through on-site execution. You'll be the driving force behind how our events look, sound, and feel on stage, ensuring that every keynote, panel, demo, and audience moment is produced to the highest standard and authentically reflects Anthropic's brand and mission. This role sits at the intersection of creative vision, technical production, and program management. You'll develop run-of-show documents, manage production timelines, direct rehearsals, coordinate with AV and staging vendors, and serve as the calm, decisive presence calling the show live. Whether we're producing an intimate executive gathering or a large-scale conference, you'll bring the strategic thinking and production expertise to create experiences that inform, inspire, and engage our audiences. This is an ideal opportunity for someone who thrives in high-stakes live environments, brings deep expertise in event production and stage management, and is excited to help shape how one of the world's leading AI companies shows up on the industry stage. Key responsibilities - Own production for Anthropic's core events portfolio, including conferences,