Applied ML Engineer for Drug Discovery & Simulations

Schrödinger seeks a Scientific Machine Learning (ML) Engineer to advance computational chemistry pipelines in New York. You will design scalable ML software that interfaces with physics-based backends to optimize hit-to-lead campaigns, and work with scientists to expand workflows for new discovery scenarios. Ideal candidates have 1–3 years of production-level software experience, Python proficiency, and ML knowledge (RL/Active Learning).