# Software Engineer, Staff: Applied AI, Science & Engineering

**Company**: Anthropic
**Location**: New York City, NY
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $405,000-$485,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5444766008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5d64fe24-8a2

## Description

## About the Role

At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.

As a Software Engineer, Staff: Applied AI, Science & Engineering, you will be part of a team that takes Claude, our AI model, to scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. You will build the tools Claude needs to do real research and engineering work.

## Responsibilities

- Build the agent harnesses and research loops that let Claude carry a problem from literature review through hypothesis generation, simulation, analysis, and design iteration.

- Connect scientific computing and simulation tools so Claude can drive them reliably and at scale.

- Design and build evaluations that tell us whether Claude's work is actually right, and be honest about where it isn't.

- Sit with scientists and engineers at partner organizations to learn their problem, data, tools, and constraints, and turn open-ended questions into well-specified, verifiable tasks with clear success criteria.

- Prototype with partners, ship pilots into their workflows, and cut anything that doesn't move the problem forward.

- Turn what works in one engagement into shared tools, reusable components, and documented processes the next one can start from.

- Be the technical voice on how Claude performs on science and engineering work, explaining results, limits, and tradeoffs clearly to researchers, engineering leads, and non-technical stakeholders alike.

- Partner with our research and product teams to share where models fall short on science and engineering work, and help shape what comes next.

## Requirements

- 8+ years of experience building software, with strong engineering fundamentals and comfort across the stack.

- Experience building real systems with large language models, including agents, tool use, or evaluations.

- Experience working on technical problems in a science or engineering field.

- Track record of zero-to-one work in startup or startup-like environments.

- Ability to work directly with expert users, understand their workflows deeply, and still keep the focus on building the right system.

- Good judgment about what can and can't be verified, and comfort saying a result isn't good enough yet.

- High agency, ability to pick up new domains quickly, and hold strong opinions loosely.

- Clear communication with researchers, engineers, and external partners.

## Nice to Have

- Advanced degree or research experience in a physical science or engineering field.

- Hands-on experience with scientific computing and simulation, numerical methods, or optimization.

- Experience in industrial R&D, a national lab, or a deep-tech company.

- Experience building alongside customers or technical partners.

- Experience with ML research, RL environments, or evaluation design.

## Logistics

- Annual Salary: $405,000-$485,000 USD.

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

- Visa sponsorship: We do sponsor visas.

## Skills

### Required
- large language models
- agents
- tool use
- evaluations
- scientific computing
- simulation tools
- technical problem-solving
- zero-to-one work
- communication

### Nice to have
- advanced degree in physical science or engineering
- hands-on experience with scientific computing and simulation
- industrial R&D
- deep-tech company
- ML research
- RL environments
- evaluation design

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5444766008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)