Anthropic

Anthropic

Anthropic is seeking a Research Scientist to focus on measuring and understanding recursive self-improvement in large models. The ideal candidate has hands-on research experience with large models, including pretraining, fine-tuning, reinforcement learning, evaluations, or agent scaffolds. You will leverage your understanding of the model development loop to identify key signals, design evaluations and models to measure them, and interpret the results to understand the pace of AI advancement. This role involves making research bets, owning outcomes, and communicating findings through written assessments for internal decision-makers and public reporting. Collaboration with various research and policy teams is expected.

Anthropic

As an Applied AI team member, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and how they can successfully integrate and deploy it into their technology stack. You'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evals, and design scalable architectures.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on the engineering aspects of reinforcement learning for Claude's coding capabilities, involving the creation and scaling of agentic coding environments. You will have significant influence on technical direction and standards, embedding with research teams to understand their needs, build supporting frameworks and infrastructure, and then transfer ownership of these well-maintained systems. The role also includes ensuring the ongoing health and maintainability of production RL runs, including monitoring and triage tooling. The team's work spans client-side sandboxed execution for agentic RL, large-scale data processing, dataset lifecycle management, and the frameworks researchers use to build environments. You will focus on areas where your deep expertise is most valuable, particularly if you have strong Python skills, a keen eye for API and framework design, and experience with complex system failures.

Anthropic

Anthropic's Environments organization is responsible for building and maintaining the infrastructure that enhances Claude's capabilities through reinforcement learning. This includes developing frameworks for researchers to create environments and managing the infrastructure that runs them, with a core mission to productionize research. The role involves embedding with research teams to understand their workflows and designing frameworks and APIs that accelerate their progress, ensuring these systems are understandable, ownable, and maintainable. A key aspect is also ensuring the health, maintainability, monitoring, and ease of triage for production RL runs.

Anthropic

Anthropic is seeking a Technical Documentation and Content Engineer to own the documentation for Claude apps. This role involves more than traditional technical writing, focusing on unifying the documentation estate across multiple product surfaces. You will be responsible for the architecture, standards, and engineered systems that maintain high quality at scale. This is a content and systems ownership role where you will curate content, set quality bars, and build automation for review, maintenance, and quality enforcement. You will collaborate with engineers building documentation tooling.

Anthropic

Agentic systems are a rapidly growing area in AI deployment, with applications in coding, research, customer support, and network security. Anthropic is building a team focused on enhancing Claude's capabilities as an agent, enabling it to handle more complex, long-horizon tasks and coordinate with other agents. This role involves tackling challenges in harness design, agent affordances, infrastructure, and fine-tuning to maximize agent performance. The team is seeking individuals who can demonstrate their skill in getting LLMs to perform complex tasks through projects involving agent design, quantitative experiments, benchmarking, synthetic data generation, or model fine-tuning.

Anthropic

Anthropic is seeking a Partner Enablement leader to develop and manage programs that empower our cloud partner ecosystem, including AWS, Google Cloud, and Microsoft Azure. This role is crucial for ensuring that partner sales and technical teams are equipped to identify, qualify, and successfully close opportunities involving Anthropic's AI products. You will be responsible for building the end-to-end enablement infrastructure, encompassing onboarding, launch readiness, sales and technical training, certification, co-sell playbooks, and performance metrics. Additionally, you will ensure Anthropic's internal go-to-market teams understand our cloud partnerships, co-sell mechanics, and offering nuances to effectively collaborate with hyperscalers. This is a foundational role where you will design the operating model while executing against a rapid launch schedule, collaborating closely with Partnerships, Applied AI, Product Marketing, Sales, and partner organizations.

Anthropic

Education Labs builds paradigms to help people become genuinely more capable. This role is a blend of researcher, product builder, and interaction designer, focused on studying how AI transforms human capability and shipping features based on discoveries. You will have significant creative license to define "good" experiences, exploring new interaction patterns rather than optimizing existing ones. The focus is on experiences that make users progressively more capable, curious, and empowered over time, integrating skill development into product design and measuring success by user growth. You will operate as a one-person technical shop, prototyping ideas, establishing technical direction, and shipping production-quality features to millions of users, requiring strong product instincts and clean interface design sensibilities balanced with comfort in ambiguity and frontier thinking.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on developing the evaluation infrastructure for AI-powered misuse investigation systems. You will design experiments to measure the performance of investigative agents, build datasets representing real-world abuse, and integrate these methods into production pipelines. Your work will directly influence the trust Anthropic places in its automated abuse detection and guide improvements.

Anthropic

Anthropic's Safeguards organization is responsible for building systems that ensure Claude is safe to use at scale. The Account Compromise team focuses on protecting users from losing account control and preventing compromised accounts from being used to abuse the platform. This role involves owning the architecture for detecting, containing, and remediating account compromise across Claude and its Developer Platform, making key design decisions for other engineers. The work requires deep technical expertise, adversarial problem-solving, threat modeling, and the ability to scope and lead complex, multi-month projects from ambiguous beginnings. You will operate with significant autonomy, driving alignment with various teams and shaping Anthropic's global approach to account security.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. We are a growing team of researchers, engineers, policy experts, and business leaders. The GTM Systems team builds and operates the platform for Sales and contracting, handling production transactions and generating critical company data. We are seeking a technical lead to evolve this platform by establishing robust engineering practices, including CI/CD, automated testing, and code review. This role involves leveraging Anthropic's frontier AI models as part of the daily toolkit, transforming individual usage into a coordinated engineering practice.

Anthropic

Anthropic is seeking Technical Specialists to drive the adoption of Claude Code, their rapidly growing software product, within strategic enterprise customers. This role focuses on engaging with customers post-sale to convert developer enthusiasm into organization-wide adoption by providing tailored enablement based on the customer's specific technology stack and workflows. You will also collaborate with sales and applied AI teams on strategic pre-sale pilots, scoping, enablement, and defining success criteria. While not a direct implementation role, you will be hands-on with developers, leaders, and at events, building demo applications and reference implementations to showcase the capabilities of Claude Code and related products.

Anthropic

As a Product Support Specialist, you will be at the forefront of safely deploying AI to the world. Your daily tasks will involve responding to, investigating, and tracking user needs. You will also play a key role in identifying and addressing gaps in our team's technical knowledge, providing high-level support to important customers, and demonstrating a strong commitment to scaling our customer support processes effectively.

Anthropic

Anthropic's Third Party Risk Management (TPRM) team, within Security GRC, is responsible for managing risks associated with vendor and partner relationships. This role focuses on the highest-risk vendor portfolios, including mission-critical vendors like compute, data center, and data-pipeline providers, as well as vendors with deep access to our data and systems. The program is designed with an AI risk agent to handle initial tasks, allowing human focus on critical judgment, remediation, and high-priority vendors. You will be responsible for exit and failover planning, single-point-of-failure analysis, financial screening, and ensuring assessment depth aligns with vendor exposure.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, believing that powerful AI can accelerate scientific progress. The Claude Science team is building an AI workbench that integrates tools for literature review, scientific databases, computation, analysis, and publication into a single environment. This role offers the opportunity to shape a new product category from its inception, impacting scientific discovery across biology, chemistry, and physics. You will be a technical leader focused on the end-to-end researcher experience, collaborating with internal research teams to advance model capabilities and drive product development.

Anthropic

The IT Operations team at Anthropic is seeking an IT Support Engineer to ensure every employee can do their best work without friction. As the company grows rapidly, this role will be crucial in onboarding at scale, automating repetitive processes, and continuously improving the employee experience. You will handle support challenges primarily within a macOS environment, contributing to operational improvements and working closely with IT Engineering and Security. This position offers opportunities to grow into more technical infrastructure work over time.

Anthropic

Anthropic's Enterprise AI Products team is responsible for developing the features that make Claude a daily-use tool for enterprise customers. This involves focusing on organizational context and workflows, such as plugins, skills, connectors, and webhook-triggered processes or agents. The team aims to understand and address adoption barriers by building new capabilities. This role offers the opportunity to shape the product and architecture in a nascent market, acting as a technical leader who considers the end-to-end customer experience, collaborates with research to productionize model advancements, and takes ownership of shipped products.

Anthropic

Anthropic is seeking an experienced tech lead to join its Evals Infrastructure team. This role involves building and managing the systems that measure the capabilities of AI models, ensuring these evaluations are fast, reliable, and trustworthy at scale. You will work at the intersection of inference, research, and infrastructure engineering, orchestrating large-scale distributed systems for frontier model evaluations, developing researcher harnesses, and ensuring the reproducibility and interpretability of results. Your work will directly influence the development of AI systems and their alignment with human interests.

Anthropic

As an Applied AI team member, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and how they can successfully integrate and deploy it into their technology stack. You'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evals, and design scalable architectures.

Anthropic

Anthropic's Finance Systems team is responsible for the infrastructure that supports financial operations and drives initiatives to scale the Finance function. As financial operations become more complex, the team is moving beyond configuring existing platforms to building production-grade financial applications. This role will own the end-to-end architecture of the treasury technology platform and data foundation, ensuring robust design and build-vs-buy decisions. It will also focus on automating Treasury's daily and monthly operating processes through Claude-powered workflows and integrating treasury technology with the broader Finance data lake, ERP, and vendor systems.