Senior ML Scientist - Materials Discovery & Characterization

Posted today

flagship venturesSomerville (MA)

Materials Scientists Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

SENIORITY

Senior

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About the role

Flagship Pioneering is seeking a talented individual to design and implement supervised machine learning models to optimize materials synthesis. Candidates will work at the intersection of computation and experimental teams, driving discoveries in materials with a strong focus on Bayesian Optimization and uncertainty quantification. A PhD in a quantitative field and robust experience with ML frameworks like PyTorch or Tensor Flow are required. The role promises a stimulating environment to collaborate with dynamic teams.

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