Model Quality Software Engineer, Claude Code

Anthropic
San Francisco, CA | New York City, NY / San Francisco, CA, San Francisco, California, United States2026-02-02

About the job

We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. 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 itself.

Responsibilities

Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team

Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap

Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years

Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion

Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them

Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale

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 take responsibility for their long-term health

Qualifications

Minimum

Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent)

Preferred

Designing or scaling eval/evaluation frameworks for ML systems

Reinforcement learning infrastructure or training systems

Leading 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 norm

Research computing, scientific infrastructure, or developer platforms at scale

A strong quantitative foundation (math, physics, or related fields)

Expertise in Python and TypeScript