Machine Learning Scientist - Molecular Force Fields
… · Remote · United States ·
COMPENSATION
Salary available to subscribersListed on the employer's job board (Ashby)
- PhD in Computational Chem/ML
- Python + PyTorch/JAX
- ML Force Fields focus
- Equity + 401(k) match
Join the PFAS team within the company's Chemical Simulation group to develop substitutes for semiconductor process materials. You will own the machine learned force fields pipeline, from designing high-throughput quantum chemistry campaigns to training and validating interatomic potentials. Your work will enable accurate screening of candidate molecules for reactivity, stability, and diffusivity.
What you'll do
- Design and run high-throughput physics-based simulation campaigns for training data
- Build automated, reproducible data generation workflows on cloud and HPC
- Train, validate, and deploy machine learned interatomic potentials
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