As a Principal ML Performance Engineer, you will optimize training and inference for advanced machine learning models, focusing on GPU efficiency and performance engineering.
You will lead compound design and synthesis for discovery programs, collaborating closely with biology teams to optimize drug candidates from hit identification to lead optimization.
Design and execute cell-based assays to validate targets and computational hits in proximity drug discovery, impacting internal pipeline decisions and partner deliverables.
Lead small-molecule drug discovery projects by leveraging machine learning and computational tools to design and execute innovative drug discovery strategies.
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