Join Anthropic's Reward Modeling team to implement novel architectures, optimize training and data pipelines, and collaborate on AI alignment research.

As a Research Engineer, you'll advance AI capabilities by developing systems for reinforcement learning, improving reasoning abilities, and collaborating on innovative methodologies for machine learning research.

The Infrastructure & Runtime Engineer will build and maintain systems supporting AI research, focusing on data pipelines, execution environments, and performance optimization, collaborating with researchers to enhance AI methodologies.

Collaborate with various teams to optimize compute capacity planning and allocation, ensuring accurate forecasting and enhancing customer experience.

The Research Engineer will design and conduct machine learning experiments focusing on AI safety, collaborate on alignment projects, and contribute to research publications.

As a Software Engineer on the Account Abuse team, you'll develop systems to prevent resource misuse and collaborate across teams to maintain safety and fairness in AI operations.

Lead the development of the Human Feedback Interface by collaborating with researchers, mentoring engineers, and implementing scalable systems for data collection and model refinement.

Support employee lifecycle operations, develop HR processes, optimize systems, lead compliance initiatives, and enhance employee experience at a high-growth company.

The Consumer Marketing Lead will develop and execute marketing strategies to promote Claude, manage a high-performing team, and drive product awareness and engagement.

The Recruiting Coordinator will manage high volume candidate scheduling, improve recruitment processes, and enhance candidate experiences while collaborating with recruiters.

As a Data Scientist at Anthropic, you will analyze user behavior data to inform policy and product strategy, define economic metrics for AI usage, design experiments, and develop reporting to inform stakeholders on AI's economic impact. You will collaborate closely with various teams to instill a data-driven culture.

The Data Science Manager will lead a team, develop metrics and analyses, drive product strategy, and ensure data-driven decision-making across the organization.

Drive adoption of AI in higher education by securing strategic deals, managing complex sales cycles, and collaborating with academic stakeholders.

The Customer Marketing Manager will develop programs to build customer advocacy and engagement through storytelling and strategic initiatives.

Lead and build a team of Account Executives to drive AI solution adoption in the startup ecosystem, executing strategic sales initiatives.

As a Product Manager for Workflows, you'll define product strategies, drive development of solutions, and lead cross-functional initiatives focusing on AI integration in enterprise workflows.

As a Performance Engineer, you'll solve novel systems problems in ML, optimizing throughput and robustness in large distributed systems while developing high-performance solutions.

The Software Engineer will solve large-scale systems problems and optimize ML algorithms for performance and throughput in distributed systems.

Develop high-performance ML training infrastructure and systems for large language models, optimizing performance and collaborating with research teams.

Conduct empirical research on AI's societal effects, develop measurement tools, collaborate across teams, and communicate findings to inform product and policy.