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Anthropic is seeking a Staff Software Engineer for the Claude Code team in the United Kingdom. You will set technical direction at the intersection of engineering and research, architecting evaluation and research infrastructure and leading end-to-end ownership of critical systems.
You will mentor engineers, translate research questions into durable engineering solutions, and partner with research leads to shape capabilities and progress metrics while maintaining high standards of reliability
This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itselfCan dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—get to the frontier quicklyTake full ownership of ambiguous, open-ended problems and drive them to completion with minimal directionHave 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organizationCare deeply about correctness and reliability, and have raised engineering standards on teams you’ve been part ofAre a power user of agentic coding tools with deep intuition about model capabilities and limitationsAre energized by working at the boundary between engineering and AI research, and by the prospect of influencing bothHave architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teamsThrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durabilityHave a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operatesReinforcement learning infrastructure or training systemsDesigning or scaling eval/evaluation frameworks for ML systemsLeading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the normResearch computing, scientific infrastructure, or developer platforms at scaleExpertise in Python and TypeScriptA strong quantitative foundation (math, physics, or related fields)