Machine Learning Scientist I/II, LLM Training & Inference Research
About The Position
As a Machine Learning Scientist in LLM Training & Inference Research, you will lead research on how we train and serve large language models for scientific applications. Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
Requirements
- Strong background in LLM training and deployment.
- Research experience in scalable compute techniques.
Nice To Haves
- Experience applying LLMs to scientific or technical data.
- Work in collaborative cross-functional ML environments.
- Publications or contributions to open-source frameworks welcome.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
