# Staff+ Software Engineer, Claude Science

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $405k – $485k/yr
**Experience:** 8+ years
**Skills:** ai products, Software Engineering, Model Evaluation, evals, Technical Leadership, cross-team alignment, Python, Machine Learning
**Posted:** 2026-07-22

> 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.

## Job Description

## 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.

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