Lila Sciences is looking to solve humankind's greatest challenges in human health, climate, and sustainability by pioneering a new age of boundless discovery through a scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.
Requirements
- Strong background in LLM training and deployment.
- Research experience in scalable compute techniques.
- Experience applying LLMs to scientific or technical data.
Responsibilities
- Lead research on how we train and serve LLMs for scientific applications.
- Develop and optimize LLM post-training strategies including SFT, RLHF, and RL with verifiers.
- Design test-time compute and efficient inference mechanisms for complex tool use environments.
- Build scalable evaluations for LLM performance on scientific reasoning.
- Explore the limits of frontier LLM based approaches for scientific tasks and quantifying their failure modes.
Other
- If this sounds like an environment youâd love to work in, even if you only have some of the experience listed below, we encourage you to apply.
- Publications or contributions to open-source frameworks welcome.
- Work in collaborative cross-functional ML environments.
- Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
