Senior ML Scientist - Materials Discovery & Characterization

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.