Lila Sciences is the worldâs 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.
Requirements
- PhD or equivalent research experience in ML models for biological domains.
- Experience with training and using state-of-the-art biomolecule design models (AlphaFold, Evo2, ESM, etc).
- Experience designing and running experiments to improve model performance
- Strong coding skills and ML framework(PyTorch, JAX, etc) expertise.
- Publications in ML for biology at top research venues.
- Experience with building design-build-test loops (DBTL) for biomolecular design
- Experience with large language models or reinforcement learning.
Responsibilities
- Pursue a research agenda to improve state-of-the-art models for biomolecule (DNA, RNA, and proteins) design.
- Scientific reinforcement learning environments to improve model performance.
- Autonomous pipelines that integrate experimental feedback with in silico predictions.
- train, test, and deploy models for experimentation.
- Your work will directly support advances in scientific models, reinforcement learning, and agentic AI capabilities.
Other
- Are passionate about the impact of AI for science.
