Machine Learning Scientist
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Job Description
Machine Learning Scientist at Variational AI optimizing drug development with machine learning. Collaborating on novel ML algorithms for small molecule drug discovery with a focus on innovation.
Responsibilities:
- Design, implement, test, and refine novel elements of a machine learning architecture built to optimize the properties of small molecule drugs;
- Continually improve the robustness of the existing code base;
- Apply the pipeline to new drug targets.
Requirements:
- Ph.D. in CS, applied mathematics, statistics, physics, or related discipline;
- Expertise with machine learning techniques, including diffusion models, Transformers, and Bayesian optimization, demonstrated through first-author publications in conferences like NeurIPS, ICLR, and ICML;
- Two or more years’ experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.;
- Mastery of Python and PyTorch;
- Intellectual curiosity and drive to excel.
Benefits:
- Competitive mix of cash and options
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