Staff+ Software Engineer, Claude Science
San Francisco, United States · On-site · Full-time
- Posted 1mo ago
- From Anthropic’s careers page
- Location
- San Francisco, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Staff
- Experience
- 8+ years
- Department
- Software Development
Opens the listing on job-boards.greenhouse.io
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About the role
About the role
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future.
Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs.
What you'll do
- Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed
- Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, 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
You may be a good fit if you
- Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
- Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
- Have built AI products and know what it takes to turn model capabilities into applications people actually use
- Are 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
Skills they ask for
Pick one to see other roles that ask for it.
About Anthropic
AI research and safetyAnthropic researches and builds AI systems, with work spanning model development, safety, and societal impacts.
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