Research Scientist Pre-training Research
Chai DiscoveryVisit Chai Discovery website
AI molecular-design company building models and a computer-aided design suite for drug discovery.
San Francisco, United States
Funding history
About Chai Discovery
Chai Discovery develops generative AI software that predicts and reprograms biochemical molecular interactions to help scientists design biomolecules and medicines.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will conduct foundation-model pre-training research for molecular structure and interaction. You will design architectural components, training objectives, and data mixes; analyze training curves; and refine training recipes. You will apply ideas from frontier language, image, and video models to advance therapeutic engineering.
Requirements
- Depth in generative modelling, model architecture, or scaling laws
- Experience designing and training large models
- Theoretical grounding in computer science, machine learning, mathematics, or physics
- Strong research track record
Responsibilities
- Develop foundation-model pre-training methods
- Design model architectural components, training objectives, and data mixes
- Analyze training curves and refine training recipes
- Adapt ideas from language, image, and video models