Software Engineer, Staff: Applied AI, Science & Engineering

Anthropic•New York City, NY

11h•Hybrid

About The Position

Anthropic is building AI systems that are safe, beneficial, and transformative, aiming to develop AI that benefits humanity. The Applied AI, Science & Engineering team focuses on applying Claude, an AI system, to solve hard problems in science and engineering by building the necessary tools, integrations, evaluations, and processes. This role is primarily an engineering position where the engineer will work closely with domain experts to prototype and build systems that enable Claude to perform real research and engineering work. The engineers joining now will play a key role in shaping how Claude is applied to science and engineering.

Requirements

8+ years of experience building software, with strong engineering fundamentals and comfort across the stack, from data pipelines to tooling to quick interfaces
Have built real systems with large language models, including agents, tool use, or evaluations
Have worked on technical problems in a science or engineering field, such as physics, materials, chemistry, or electrical or mechanical engineering
Have a track record of zero-to-one work in startup or startup-like environments
Can work directly with expert users, understand their workflows deeply, and still keep the focus on building the right system rather than the one first requested
Have good judgment about what can and can't be verified, and are comfortable saying a result isn't good enough yet
Bring high agency, pick up new domains quickly, and hold strong opinions loosely
Communicate clearly with researchers, engineers, and external partners, and care about the societal impacts of your work

Nice To Haves

An 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 in areas like energy, materials, manufacturing, or hardware
Experience building alongside customers or technical partners, for example in forward-deployed, applied AI, or solutions engineering roles, ideally where you also owned the software that came out of it
Experience with ML research, RL environments, or evaluation design

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 (finite element, CFD, electromagnetic, or molecular modeling codes, for example) 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