AnthropicSan Francisco, CAConduct technical and sociotechnical research at the intersection of AI and democratic institutions, focusing on legal alignment, institutional analysis, and AI applications to support civic life and accountable government. Requires deep AI expertise plus substantive knowledge in law, government, or public policy.
Research Engineer focused on mechanistic interpretability, building tools and infrastructure to reverse-engineer neural networks for safer AI. Requires 5+ years software experience, Python proficiency, and AI research contributions.
Founding Research Scientist on Anthropic's Life Sciences team, designing and executing wet-lab experiments in molecular biology and biochemistry. Partners with computational biologists and uses Claude AI for hypothesis generation, experimental planning, and rapid iteration to drive AI-accelerated biological discoveries.
As the first dedicated education researcher at Anthropic's Education Labs, design and run mixed-methods studies on AI skill development, build/validate learning measures and instruments, and translate insights into product, curriculum, and model improvements. Requires research background in learning sciences or related fields, strong mixed-methods expertise, Python/LLM technical skills, and comfort with ambiguity.
Anthropic is seeking a Research Scientist to join their Life Sciences team. This role involves building and shipping agentic tools, designing evaluation benchmarks, and partnering with external users to improve model capabilities on scientific tasks.
Builds macroeconomic models and scenario-based forecasting tools for transformative AI impacts on growth, labor markets, and income distribution. Requires PhD in Economics, expertise in macro modeling, computational methods, and grounding in real-world AI usage data.