Jobs at Anthropic

Drive adoption of AI technology in Japan's financial services sector, manage sales cycles, and build relationships with senior executives.

The role involves building strategic partnerships with system integrators, developing go-to-market strategies, and leading enterprise sales efforts in Japan's technology sector.

As a Research Engineer, you'll enhance model performance in safe coding for accelerators, design RL environments, and collaborate across teams.

Four-month, full-time research fellowship focused on ML systems and performance. Fellows build and evaluate infrastructure-heavy projects (e.g., CPU simulators, accelerator backends, large-scale distributed training), use external models/APIs, receive mentorship, funding for compute, and aim to produce public research outputs.

Build and maintain high-performance distributed inference systems to serve LLMs at scale. Implement intelligent request routing, autoscaling, load balancing, deployment pipelines, and integrate diverse AI accelerators across multi-cloud environments. Use observability to tune production performance and enable research workflows.

The Enterprise Account Executive will drive AI technology adoption in Japan's Telecommunications sector, managing the sales cycle and building relationships with government entities.

Four-month full-time research fellowship mentoring fellows to run empirical RL and LLM projects using external infrastructure. Fellows receive compute funding and a weekly stipend, produce public outputs (e.g., papers), and work on RL environments, algorithms, model fine-tuning, and training/evaluation of large models with mentor support.

4-month full-time funded research fellowship using external models/APIs to produce public outputs (papers). Fellows receive mentorship, workspace access (Berkeley or London) or remote options within US/UK/Canada, weekly stipend, compute funding, and are expected to implement experiments, collaborate with mentors, and communicate results. Applicants must be fluent in Python and authorized to work in the US, UK, or Canada.

This role involves conducting research and engineering solutions in model architecture, algorithms, and optimizing training infrastructure for large language models.

As an Enterprise Account Executive, drive revenue growth by securing strategic deals with enterprises and refining sales methodologies. Collaborate with teams to enhance product offerings, expanding market presence through innovative sales strategies. Ideal candidates will have extensive enterprise sales experience with emerging technologies, strong communication skills, and a passion for AI safety.

Four-month full-time research fellowship supporting empirical AI safety projects using external models and APIs. Fellows receive mentorship, compute funding, and workspace access to produce public outputs (e.g., papers) across safety, robustness, interpretability, RL, and societal-impact topics.

Develop and evaluate ML models (especially LLMs) for life sciences applications, build large-scale data pipelines, design evaluation frameworks and training strategies, collaborate with researchers and engineers, and ensure safe, interpretable AI systems for biology research and translation.

The Senior Software Engineer will build and maintain systems for AI deployment, focusing on performance, efficiency, and infrastructure for model serving. Responsibilities include designing routing algorithms, managing compute resources, and deploying new models globally.

Lead architecture, roadmap, and implementation for feature flagging, dynamic configuration, and A/B/experimentation infrastructure. Build scalable distributed systems, libraries, tooling, and APIs/CLI to enable safe rollouts, experiments, and measurement across research and production. Partner with deployment, testing, and internal teams to define standards and improve developer productivity.

Lead design and delivery of end-to-end vertical AI products (financial services, science, healthcare, enterprise). Partner with research to productionize models, engage enterprise customers, set technical direction, mentor engineers, and drive cross-team product development from 0→1 and through growth.

Own and scale Anthropic's AWS co-sell and GTM motion across Southern Europe. Build executive and field relationships with AWS, develop joint business plans, drive pipeline and revenue through AWS, run joint customer engagements and marketing, provide market intelligence, and lead regional business reviews with AWS and internal stakeholders.

Lead a team of 5–10 Growth Account Executives focused on startup customers. Own team revenue targets, coach reps, build scalable account-management frameworks, partner cross-functionally, manage pipeline and forecasting, and support strategic negotiations to drive expansion and retention.

Lead technical strategy and build agent runtime platform and tooling to enable agentic productivity. Ship scalable, reliable infrastructure, develop agent harnesses and evals, collaborate cross-team, and define quality and operational practices.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

The Research Engineer will conduct machine learning experiments focused on AI safety, collaborating on projects related to alignment science, control methods, and empirical contributions to AI's safe deployment.