Staff+ Software Engineer, Claude Science

at Anthropic

📍 San Francisco, United States

USD 405,000-485,000 per year

SENIOR

✅ Hybrid

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Leadership @ 7 Technical Leadership @ 7

Details

About the role

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. Claude Science is an AI workbench that gives researchers a single environment for work spanning dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors.

You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with Anthropic’s internal research team to push model capabilities into production, and carries real ownership over what the team ships next.

Responsibilities

Ship fast against a roadmap you help shape; highest-leverage problems are still unclaimed
Interface directly with working scientists (academic labs, industry R&D teams, and research institutes), translating what you learn into engineering priorities
Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product
Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development

Requirements

8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Built products from 0 to 1 in fast-moving environments and can set technical direction with limited precedent
Built AI products and know what it takes to turn model capabilities into applications people actually use
Comfortable working directly with technical domain experts and translating what you learn
Drive cross-team alignment to ship impactful work, with influence over authority

Strong candidates may also have

Background in chemistry, biology, physics, or another science
Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks

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
Location-based hybrid policy: Expect staff to be in one of the offices at least 25% of the time (some roles may require more time in offices)
Visa sponsorship: Anthropic sponsors visas; if an offer is made, they will make every reasonable effort to get a visa and retain an immigration lawyer to help with this
Safety note: Anthropic recruiters only contact candidates from @anthropic.com; recruiters will never ask for money, fees, or banking information before the first day