Machine Learning Scientist, Biomolecule Design

Cambridge, MA USA

About Lila

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 introducingscientific superintelligence to solve humankind's greatestchallenges, 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.

As a Research Scientist on the Biomolecule Design effort in AI Research team, you will be responsible for building the next generation of biological models that will be foundational to Lila’s autonomous discovery loop. You’ll work closely with researchers and engineers to train, test, and deploy models for experimentation. Your work will directly support advances in scientific models, reinforcement learning, and agentic AI capabilities.

• 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.

• 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.
• Are passionate about the impact of AI for science.

• Publications in ML for biology at top research venues.
• Experience with building design-build-test loops (DBTL) for biomolecular design
• Experience with distributed systems or high-performance computing
• Experience with large language models or reinforcement learning.

Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.