Applied ML Engineer for Drug Discovery & Simulations
schrodingerNew York (NY)
Applied ML Engineer for Drug Discovery & Simulations
Posted today
schrodingerNew York (NY)
Data ScientistsResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
SENIORITY
Mid
About the role
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).
Before you apply
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Your profile is current
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Two examples you can talk through
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A number in mind
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Your notice period
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