Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science to solve humankind's greatest challenges in human health, climate, and sustainability.
Requirements
- Proficiency with training, testing, and deploying models.
- Have experience with machine learning frameworks (PyTorch, JAX, etc)
- Experience with ML models in biological domains
- Have strong software engineering skills and can quickly develop working prototypes
- Motivated by strong code quality, performance, and design
- Experience with training and using state-of-the-art biomolecule design models (AlphaFold, Evo2, ESM, etc).
- Experience with distributed systems or high-performance computing
Responsibilities
- Training and deploying the next generation of 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.
- Work closely with researchers and engineers to train, test, and deploy models for experimentation.
- Support advances in scientific models, reinforcement learning, and agentic AI capabilities.
Other
- Are passionate about the impact of AI for science.
