Week 2025-W30

Anthropic· 9 roles

• Anthropic AI Safety Fellow, US Post-train · Research 10
  This is a fellowship program focused on AI safety research, aiming to bridge industry engineering expertise with research skills. Fellows will work on empirical projects using external infrastructure, with the goal of producing public outputs like paper submissions. The program offers mentorship, funding, and compute resources.
• Anthropic AI Safety Fellow, UK Pretrain · Research 10
  This is a research fellowship focused on AI safety, aiming to produce empirical research outputs like paper submissions. Fellows will use external infrastructure and work on projects aligned with Anthropic's research priorities, receiving mentorship and resources.
• Anthropic AI Safety Fellow, Canada Post-train · Research 10
  This is a fellowship program focused on AI safety research, aiming to bridge industry engineering expertise with research skills. Fellows will work on empirical projects using external infrastructure, with the goal of producing public outputs like paper submissions. The program offers mentorship, funding, and compute resources.
• Research Scientist / Engineer, Agentic Learning (Horizons) Post-train · Research 9
  Research Scientist/Engineer focused on developing and implementing novel finetuning techniques for language models to improve alignment properties like moral reasoning, honesty, and character. The role involves creating and maintaining evaluation frameworks, collaborating on production model integration, and automating scaling processes. Requires strong Python skills, ML training/experimentation experience, and analytical skills for interpreting results. Experience with language model finetuning, AI alignment research, and techniques like RLHF is preferred.
• Research Engineer, Virtual Collaborator Post-train · Research 9
  Research Engineer focused on training Claude for virtual collaborator workflows using reinforcement learning, data pipelines, and integrating real organizational data. The role involves designing RL environments, scaling data creation, integrating enterprise data, developing evaluation systems, and training Claude on document manipulation, with a focus on enterprise AI applications.
• Research Engineer, Model Performance & Quality Eval Gate · Research 9
  Research Engineer focused on systematically understanding and monitoring model quality in real-time. This role involves training production models, developing monitoring systems, and creating novel evaluation methodologies, bridging research and production across the model training pipeline.
• Research Engineer / Scientist, Tool Use Agent · Research 9
  Research Engineer/Scientist focused on advancing the frontier of tool use for AI agents, aiming to improve accuracy, reliability, safety, and efficiency in complex workflows. The role involves defining research agendas, designing RL methodologies, building evaluations, and shipping research advances into production models, with a strong emphasis on safety and collaboration.
• Technical Documentation & Content Engineer, Claude Code Agent · Engineering 7
  This role focuses on creating comprehensive documentation and content for Claude Code, an AI agentic coding system. The engineer will lead documentation strategy, develop best practices, create resources for various development environments, design onboarding experiences, and collaborate with engineering teams to document new features. The role requires deep expertise in Claude Code, AI-powered development tools, and strong full-stack development skills.
• Data Scientist, Claude Code Ship · Product 7
  Data Scientist role focused on analyzing developer interactions with Claude Code, a command-line AI coding assistant. The role involves defining metrics, designing experiments, and identifying insights to improve the product and developer experience, aiming to scale this AI-assisted development tool.