Staff Software Engineer, AI Platforms for Science

CDFAM - Computational Design Symposium

San Francisco, Northern (CA, KY)

Hybrid

USD 405,000 - 485,000

Full time

14 days+
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Job summary

Anthropic is seeking a technical leader to shape Claude Science and the end-to-end researcher experience, partnering with internal research teams to push model capabilities into production. You will drive the roadmap, work with scientists and product/design to translate hypotheses into shipped software, and help define evaluation and failure modes to improve reliability and impact.

Our team operates in a highly collaborative environment, accelerating scientific progress across biology,

Qualifications

  • 8+ years of software engineering experience.
  • 2+ years in staff or leadership role.
  • Experience shipping AI products.
  • Ability to translate research into engineering priorities.

Responsibilities

  • Ship fast against a roadmap you help shape.
  • 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.

Skills

Software engineering
Technical leadership
AI products
Cross-team collaboration

Education

Bachelor's degree

Job description

Anthropic is seeking a technical leader to shape Claude Science and the end-to-end researcher experience, partnering with internal research teams to push model capabilities into production. You will drive the roadmap, work with scientists and product/design to translate hypotheses into shipped software, and help define evaluation and failure modes to improve reliability and impact.

Our team operates in a highly collaborative environment, accelerating scientific progress across biology,

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