Machine Learning Force Fields Scientist

We’re seeking a Machine Learning (ML) Scientist 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 Machine Learning team, you’ll develop state-of-the-art ML force fields which will be applied to impactful applications in Life and Materials sciences.

• 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

What you’ll do:

• Build and manage large data sets generated using quantum chemical methods at scale to develop predictive ML force fields
• Develop software that trains and applies ML force fields to challenging problems in life and materials sciences
• Extend the accuracy, capability and generalization of current ML force fields
• Communicate results and present ideas to the team

What you should have:

• A PhD (or extensive experience) in Chemistry, Materials Science, Engineering, Computer Science, or Physics
• A proven track record of scientific contribution and independent research
• Prior experience with development of ML force fields and/or electronic structure methods