Model Performance Software Engineer, Claude Code

SignalAI; New York (NY); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive pay

Equity donation matching

Generous vacation

Parental leave

Flexible hours

Office in SF

Job summary

Anthropic is seeking a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. You will partner with researchers and engineering leadership to shape how we measure and improve Claude's coding capabilities, architecting systems, tooling, and evaluation infrastructure for scalable research.

This senior IC role requires owning critical systems end-to-end, mentoring engineers, and influencing architectural decisions across teams.

Qualifications

• 10+ years of software engineering experience at staff/principal level.
• Proven track record architecting and owning complex systems.
• Experience leading technical initiatives in demanding environments.
• Strong communication and mentorship abilities.
• Proficiency in Python and TypeScript.

Responsibilities

• Set technical direction for evaluation systems and internal tooling.
• Architect evaluation frameworks to measure model capabilities at scale.
• Lead design of infrastructure enabling large-scale experiments.
• Identify high-leverage engineering investments and drive to completion.
• Act as a senior technical bridge between product and research.
• Mentor engineers and model engineering standards.
• Partner with research leads to translate questions into durable solutions.
• Own critical systems end-to-end from architecture to production health.

Skills

Staff/Principal engineer

Architectural leadership

Distributed systems

Mentoring

Python

TypeScript

Cross-functional collaboration

Education

Bachelor’s degree or equivalent

Tools

Cloud infrastructure

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

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

You May Be a Good Fit If You

• Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high‑caliber organization
• Have architected and owned complex, high‑stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams
• Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates
• Thrive in high‑intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability
• Take full ownership of ambiguous, open‑ended problems and drive them to completion with minimal direction
• Are a power user of agentic coding tools with deep intuition about model capabilities and limitations
• Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly
• Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of
• Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both

Strong Candidates May Also Have Experience With

• 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

Annual Salary

$405,000 - $485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We believe AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.