Staff+ Software Engineer, Claude Science
Technical leader building a 0-to-1 AI workbench for scientific researchers, shaping product architecture and roadmap while partnering with scientists, product, design, and research teams. Requires 8+ years of software engineering experience, AI product experience, and strong technical leadership.
About the job
Responsibilities
- Shape and ship the roadmap and architecture for a 0-to-1 AI workbench for scientific research.
- Work directly with academic labs, industry R&D teams, and research institutes to translate scientist needs into engineering priorities.
- Partner with product and design to turn scientific workflows—from hypothesis through analysis and publication—into shipped product experiences.
- Collaborate with research teams to improve models for scientific use, including shaping evaluations, identifying failure modes, and feeding real-world user feedback into model development.
- Drive cross-team alignment and provide technical direction while owning impactful product outcomes.
Requirements
- 8+ years of software engineering experience.
- Ideally 2+ years at Staff level or equivalent technical leadership experience.
- Experience building products from 0 to 1 in fast-moving environments.
- Ability to set technical direction with limited precedent.
- Experience building AI products and turning model capabilities into usable applications.
- Comfortable working directly with technical domain experts and translating their needs into product and engineering decisions.
- Strong communication and cross-functional collaboration skills.
- Bachelor's degree or equivalent combination of education, training, and experience in a relevant field, or equivalent relevant professional experience.
Nice-to-haves
- Background in chemistry, biology, physics, or another scientific discipline.
- Experience working with research teams to improve domain-specific model capabilities.
- Experience designing evaluation frameworks.
Compensation
- Annual salary: $405,000–$485,000 USD.
- Hybrid policy: staff are expected to work from an office at least 25% of the time.
Skills
Ai Products, Software Engineering, Technical Leadership, Product Architecture, Cross-Functional Collaboration, Model Evaluation, Evaluation Frameworks, Scientific Computing, Chemistry, Biology, Physics
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