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AnthropicAnthropicSan Francisco, CA

Model Quality Software Engineer, Claude Code

Software Engineer on Claude Code team builds evaluation systems, tooling, and infrastructure to enhance AI coding capabilities. Collaborates with researchers in fast-paced environment; requires 5+ years experience building complex systems.

320k – 485k/yr
Hybrid5+ YOEML Engineering

About the role

Responsibilities

  • Design and build eval systems that measure model capabilities across diverse coding tasks
  • Build tooling and infrastructure that enables researchers to run experiments at scale
  • Develop pipelines for data collection, processing, and analysis
  • Create internal tools that improve researcher productivity and accelerate iteration cycles
  • Serve as a bridge between product and research—bring strong product intuition to inform which capabilities matter most
  • Work closely with researchers to translate research questions into engineering solutions
  • Own systems end-to-end—from design through production reliability

You may be a good fit if you:

  • Have built and owned complex systems—pipelines, infrastructure, or software that orchestrates many components and handles significant state and logic
  • Thrive in high-intensity environments with fast iteration cycles
  • Take full ownership of problems and drive them to completion independently
  • Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations
  • Are comfortable diving into unfamiliar technical domains and figuring things out quickly
  • Care deeply about correctness and reliability in the systems you build
  • Are excited to work at the boundary between engineering and AI research
  • Have at least 5 years of work experience

Strong candidates may also have experience with:

  • Writing or maintaining eval/evaluation frameworks
  • Reinforcement learning systems
  • Working in high-performance, demanding environments—trading firms, quant funds, competitive research labs, or fast-moving startups where intensity is the norm
  • Have research computing or scientific infrastructure background
  • Have a strong quantitative foundation (math, physics, or related fields)
  • Python and TypeScript

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Skills

PythonTypeScriptEvaluation FrameworksReinforcement LearningData PipelinesResearch InfrastructureScientific Computing

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