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 TensorFlow are required. The role promises a stimulating environment to collaborate with dynamic teams.
#J-18808-LjbffrSenior ML Scientist - Materials Discovery & Characterization in cambridge at Unknown Company
This position is listed as full time and onsite.