Description
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
The Discovery team at Anthropic aims to build an AI scientist capable of solving long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier.
We're expanding our work on engineering and applied sciences, focusing on contributing to training Claude to invent, design, and engineer across various disciplines and scales.
In this role, you'll work at the intersection of frontier AI and your field, developing 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 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.
- Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training.
- Translate between engineering domain knowledge and machine learning objectives.
Minimum Qualifications:
- Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline.
- Experience with AI or machine learning.
- Track record of taking work from concept through to a working result.
- Hands-on proficiency with computational design, analysis, or simulation tools used in your field.
- Basic programming proficiency, for example in Python.
- Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment.
- Ability to work independently while collaborating closely with cross-functional teams.
Preferred Qualifications:
- 5+ 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.
Logistics:
- Annual Salary: $320,000-$405,000 USD.
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
- Visa sponsorship: We do sponsor visas.
Benefits:
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Lovely office space.