Description
About the Role
The Discovery team at Anthropic aims to build an AI scientist capable of solving long-term reasoning challenges and advancing scientific and technological frontiers.
We're seeking exceptional researchers with deep expertise in engineering or applied science disciplines to work at the intersection of frontier AI and their field. You will develop rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks.
Key Responsibilities
- Design and implement evaluation methodologies for assessing AI model capabilities in engineering and applied science research.
- Create realistic tasks and training environments, and curate field-specific data.
- Develop and validate simulations and computational tools, calibrating them against real-world data.
- Collaborate with industry partners to test Claude's inventions and bring real-world feedback into evaluation and training.
- Strategize on integrating Claude's engineering capabilities into real-world applications.
- Provide expert advice on critical problems, tools, and workflows in your field.
- Establish benchmarks and gather high-quality data for training with domain experts.
- Translate engineering domain knowledge into machine learning objectives.
Minimum Qualifications
- Deep expertise in an engineering or applied science discipline.
- Experience with AI or machine learning.
- Track record of completing projects from concept to working results.
- Proficiency with computational design, analysis, or simulation tools.
- Basic programming skills, preferably in Python.
- Ability to navigate ambiguity and work independently while collaborating closely with teams.
Preferred Qualifications
- 5+ years of hands-on R&D or industry experience.
- Ph.D. in an engineering or applied science field.
- Experience in product design, manufacturing, or simulation software development.
- Breadth across multiple disciplines or stages of production.
- Familiarity with modern AI model training methods.
- Track record of building high-fidelity solvers or simulation engines.
- Experience working with manufacturers, vendors, or academic labs.
Logistics
- Annual salary: $320,000 - $405,000 USD.
- Location-based hybrid policy: 25% office time.
- Visa sponsorship available.