You will help us implement, test, characterize, and refine novel elements of a machine-learning architecture designed from the ground up to optimize the properties of small-molecule drugs; continually improve the robustness of our existing code base; and apply our pipeline to new drug targets.
Requirements & Skills:
Ph.D. in machine learning or related discipline.
Extensive publication record in top conferences (NeurIPS, ICML, ICLR, CVPR, etc.).
Five or more years of experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.
