We’re seeking a Postdoctoral Fellow in Machine Learning (ML) to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods. As a member of our Materials Science team, you’ll develop state-of-the-art ML force fields which will be applied to impactful applications in materials sciences. Who will love this job: A machine learning enthusiast with a background in physical science An innovator who’s driven to leverage technical knowledge to make a tangible impact A scientist with deep knowledge of both finite system and periodic DFT, as well as other electronic structure methods, and who understands the limitations and appropriate applications of these methods A proficient Python programmer with prior knowledge of ML toolkits such as Scikit-Learn, NumPy, SciPy, Pandas, and PyTorch An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment
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Job Type
Full-time
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees