The opportunity
The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier.
What you'll do
Design and implement evaluation methodologies for assessing AI model: capabilities relevant to engineering and applied science research and applications
Design realistic tasks and training environments, and curate data from your field
Develop and validate simulations and computational tools for your field, and: calibrate them against real-world data
Work with industry partners, manufacturers, and labs to build and test what: Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training
Think through how Claude's engineering capabilities can permeate the real: world: where they can have the most impact across industry and research, and what it takes to get them adopted
Advise the team on which problems, tools, and workflows matter most in your field
What they're looking for
- + years of hands-on R&D or industry experience in an engineering or applied science discipline
- Ph.D. in an engineering or applied science field, or equivalent industry experience
- Industry experience in product design and manufacturing, or in developing: engineering or scientific simulation software
- Breadth across more than one discipline, or across several stages of the path from design to production
- Familiarity with modern AI model training methods
- Track record of building high-fidelity solvers or simulation engines that: were validated against real-world data and used in practice
- Experience working with manufacturers, vendors, contract research organizations, or academic labs
- Experience managing data pipelines and working with large-scale technical datasets
