ML Research Engineer (Senior / Staff / Principal)

The ML Research Engineer will lead research and engineering efforts focused on generative modeling of molecular systems, driving novel ML experimentation, ideation, execution, and analysis of results. Responsibilities include developing foundation models for small molecule drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry. They will also engineer robust software systems for large-scale simulations and training AI models, design and run experiments to validate promising approaches, and ship state-of-the-art models to production. Additionally, the role involves extracting insights from generative modeling literature, developing novel models and training techniques for molecular data, and communicating findings to the team, with opportunities to mentor junior team members and research interns.