Machine Learning Scientist I/II, Chemistry

Lead development of predictive models for phase behavior and physiochemical properties of chemical mixtures across temperature, hydration, and concentration gradients.
Build a generative lab-in-the-loop AI pipeline that integrates formulation scientist input and experimental feedback to propose the next experiments.
Advance the chemistry ML stack with methods such as chemical LLMs, reaction prediction, and electronic structure approaches (DFT).
Own the data flow pipeline: define data standards, manage data processing and distribution, and create visualizations to guide decision-making.
Collaborate closely with chemists, lab scientists, and operations to ensure reproducible, scalable software and robust experimental design.
Work on-site in Cambridge, MA, contributing as a computational visionary within an interdisciplinary team.