About the Role
As an AI Agent Scientist, you will be instrumental in driving the development of sophisticated systems for materials design. This role requires a blend of creativity, technical expertise, and a passion for pushing the boundaries of AI in scientific discovery.
Responsibilities
- Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components.
- Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making.
- Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages.
- Work in collaboration with various teams, in particular the experimental materials science team.
- Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development.
- Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops.
- The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking.
- Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.