Claude Jobs

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The AI Reliability Engineering (AIRE) team partners with other teams across Anthropic to enhance the reliability of critical serving paths, from SDKs through API layers, serving infrastructure, and accelerators. This role offers a unique, cross-cutting exposure to the most important systems at Anthropic, requiring a holistic view of system composition and reliability.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide, managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team's dual mandate is to maximize compute efficiency for explosive customer growth while enabling breakthrough research by providing scientists with high-performance inference infrastructure for next-generation models. This involves tackling complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Security Risk team is rebuilding risk management as an engineering function, leveraging automation and AI-native platforms. This role involves identifying, prioritizing, and treating the company's most critical security risks across a broad spectrum of systems, from authorization to cryptography. You will help define the future of risk management for frontier AI companies, with a direct impact on CISO-level decisions and the opportunity to build the underlying AI-native platform. The work is largely greenfield, allowing you to shape the architecture and discipline.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Application Security team plays a crucial role in integrating security throughout the software development lifecycle. In this hands-on technical role, you will collaborate with software engineers and researchers to embed security from design to implementation. You will lead threat modeling and secure design reviews, proactively identify and mitigate risks, and build tools to support secure coding practices. Your work will influence our tooling, detection capabilities, and defenses against emerging AI/ML threats, while also developing standards, processes, and educational resources to empower all engineers as security champions. This role requires a security practitioner with an attacker's mindset, a developer's perspective, and strong relationship-building skills.

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

As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's economic effects and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index, establish new methodologies to measure AI's usage, diffusion, and impact, and broaden access to the insights generated. This role involves using frontier methods in econometrics, machine learning, and structural estimation to drive impact and inform both external policy discussions and Anthropic's internal business and product decisions. The team combines rigorous empirical methods with novel measurement approaches, building datasets that track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving measurement system.

Anthropic

Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams, including API Core, API Capabilities, API Knowledge, API Distributability, and API Agents.

Anthropic

Anthropic is at the forefront of AI development, making it a prime target for sophisticated actors. The Threat Intelligence function within the Detection & Response team is crucial for anticipating and mitigating these threats. In this role, you will be a hands-on practitioner responsible for generating actionable intelligence that guides our detection, hunting, and defensive strategies. You will track adversaries targeting AI labs, develop tools and pipelines to transform raw indicators into operational defenses, and collaborate closely with detection engineers and incident responders to ensure intelligence effectively influences security outcomes. This is a high-impact, builder-focused role on a small team, offering significant autonomy in shaping how threat intelligence is collected, analyzed, and operationalized at Anthropic.

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's Product Engineering organization is seeking experienced full-stack engineers to lead teams focused on current and emergent products. You will be a technical leader responsible for the end-to-end user experience across various platforms like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new AI capabilities into user-facing products, with a focus on technical quality, scalability, and a passion for AI's potential.

Anthropic

The Domain Scaling team aims to make Claude world-class at real-world knowledge work in domains like finance, healthcare, and legal. This role combines direct applied research with data sourcing (real-world and synthetic) to improve our models. You will own the end-to-end process of creating RL environments for new capabilities, which includes identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.

Anthropic

As an Economist at Anthropic, you will play a crucial role in measuring and understanding the profound effects of AI on the global economy. You will lead the development of the Anthropic Economic Index, establishing innovative methodologies to track AI's usage, diffusion, and impact using privacy-preserving tools and unique data sources. This role requires applying frontier methods in econometrics, machine learning, and structural estimation to drive significant impact, influencing both external policy discussions and Anthropic's internal business and product strategies. Our team focuses on rigorous empirical methods and novel measurement approaches, building datasets that analyze AI's influence on labor markets, productivity, and economic transformation.

Anthropic

As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop scenario-based forecasting tools to quantitatively reason about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index, using usage patterns across millions of real-world AI interactions surfaced through privacy-preserving measurement, so that scenario forecasts are disciplined by observed task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Product Manager for Model Behaviors, you will partner with the Alignment Finetuning team to define and shape Claude's character, behaviors, and reinforcement signals. This role directly influences how millions of people experience AI by systematically identifying high-priority behavioral improvements, coordinating across Research, Product, and Safeguards teams, and accelerating the ability to ship well-aligned models. The ideal candidate possesses deep user empathy and the judgment to navigate nuanced behavior questions.

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. 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 seeking a Data Scientist to optimize compute allocation, a critical decision for the company. This role addresses two key problems: matching volatile demand to finite chip capacity and understanding the causal impact of various levers on user outcomes. You will build analytical frameworks, metrics, and causal inference models to inform these decisions, translating insights into operational changes. This position is ideal for someone who excels at resource allocation, systems thinking, and driving tangible results in production environments, working closely with infrastructure engineers and presenting findings to senior leadership.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on accelerating biological discovery and drug development through AI. As the Applied AI Engineering Manager for Life Sciences, you will lead a team of engineers who deploy AI solutions for scientific organizations. You will work closely with customers to understand their workflows and build prototypes, integrations, and agents that enable AI to perform meaningful work in labs and clinics. This is a hands-on leadership position requiring you to grow and manage the team, ensure technical success with strategic accounts, and translate field learnings into product improvements. The role involves building robust infrastructure to make messy biological data reliably accessible to AI agents, ensuring correctness, reproducibility, and auditability of results.

Anthropic

We are seeking research engineers with a strong computer vision background to enhance the visual and spatial reasoning capabilities of our state-of-the-art Claude models. This role involves research, development, and evaluation, taking a full-stack approach across pretraining, RL, and runtime techniques. You will collaborate closely with the product organization to ensure that vision improvements directly impact Claude's performance on real-world tasks and address customer challenges.

Anthropic

The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork.

Anthropic

As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth.