We’re seeking a Machine Learning Force Fields Developer 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 will develop infrastructure to deploy state-of-the-art ML force fields, which will be applied to impactful applications in Life and Materials sciences.

• An ML engineer with basic knowledge and interest in physical science and machine learning
• An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment
• A technical contributor interested in optimizing implementations of the latest advances in machine learning force fields
• A developer who values code clarity, generality, and maintainability

What you’ll do:

• Develop performant implementations of state-of-the-art machine learning force fields
• Develop end-to-end fine-tuning workflows, including data collection, training, inference, and deployment
• Support computation of reference data using cloud resources
• Work with an interdisciplinary team of scientists and developers to deliver impactful workflows based on machine learning force fields

What you should have:

• A bachelor’s or advanced degree in computer science, chemistry, physics, or a related field
• 1 to 2 years of experience with machine learning frameworks (PyTorch), interpreted languages (Python), continuous integration, and version control
• Knowledge of computational chemistry and molecular dynamics is preferred
• Familiarity with cloud and high-performance computing, especially around GPU utilization
• Familiarity with  database design
• Experience with Python database libraries, C++, and/or CUDA programming is preferred