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AnthropicAnthropicSan Francisco, CA

Staff+ Software Engineer, Claude Science

Technical leader building Claude Science, an AI workbench for researchers that integrates literature, databases, scientific computing, analysis, and publication tools. Shape product and architecture from 0→1, partner with scientists and research teams to translate domain needs into shipped features and improved model capabilities.

405k – 485k/yr
Hybrid8+ YOEML Engineering

About the role

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

Compensation

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
  • 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.

Skills

ai productsSoftware EngineeringModel EvaluationevalsTechnical Leadershipcross-team alignmentPythonMachine Learning

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