Lila Sciences is seeking a Machine Learning Engineer, Biomolecule Design to join their team in Cambridge, MA. The role involves building the next generation of biological models foundational to Lila's autonomous discovery loop.
About the Role
As a Machine Learning Engineer focused on Biomolecule Design, you will collaborate with researchers and engineers to train, test, and deploy models for experimentation. Your responsibilities will include developing state-of-the-art models for biomolecule design, creating scientific reinforcement learning environments, and integrating experimental feedback with in silico predictions.
About You
Required:
Proficiency with training, testing, and deploying models.
Experience with machine learning frameworks (PyTorch, JAX, etc).
Experience with ML models in biological domains.
Strong software engineering skills and ability to quickly develop working prototypes.
Motivated by strong code quality, performance, and design.
Passionate about the impact of AI for science.
Preferred:
Experience with training and using state-of-the-art biomolecule design models (AlphaFold, Evo2, ESM, etc).
Experience with Kubernetes.
Experience with distributed systems or high-performance computing.
Publications or collaborations in ML for biology.
Lila Sciences
Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
Company Size: 51-200 employeesTechnology, Information and Internet