Anthropic is looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. The role involves partnering with researchers, architecting systems, tooling, and evaluation infrastructure, and influencing the direction of Claude Code. This senior individual contributor role requires significant experience in building and owning large-scale systems, setting technical direction, and mentoring engineers.
Model Performance Software Engineer, Claude Code at Anthropic
Hybrid - San Francisco, CA | New York City, NY
More jobs at AnthropicSalary
USD 405,000 - 485,000
Requirements
Skills
- 10+ years of software engineering experience
- Track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization
- Architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components
- History of setting technical direction that others follow through design docs, architectural decisions, or technical strategy
- Thrives in high-intensity environments with fast iteration cycles
- Full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction
- Power user of agentic coding tools with deep intuition about model capabilities and limitations
- Ability to dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—quickly
- Deep commitment to correctness and reliability, and a track record of raising engineering standards
- Enthusiastic about working at the boundary between engineering and AI research
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Responsibilities
- Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team
- Architect evaluation frameworks that measure model capabilities across diverse coding tasks and scale with the research roadmap
- Lead the design of infrastructure that enables researchers to run experiments at scale
- Identify high-leverage engineering investments and drive them to completion
- Serve as a senior technical bridge between product and research, influencing capability prioritization and measurement
- Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model engineering standards
- Partner with research leads to translate ambiguous research questions into durable engineering solutions
- Own critical systems end-to-end, from architecture through production reliability, and maintain long-term health
Technologies
PythonTypeScriptML systemsReinforcement learning infrastructure
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