The most preferred qualification is Computational Chemist with experience in catalysts. However, individuals with PhD degrees in Computer Science, Computer Engineering, Materials Engineering, or a related technical field, or equivalent practical experience would work as well. Industry experience in Machine Learning, Graph Neural Networks (GNNs), Transformers, ConvNets, Density Functional Theory (DFT), Computational Chemistry, or similar fields. A track record of contributing to novel methods in state-of-the-art Deep Learning, including large-scale, Graph Neural Nets, etc. 2+ years of experience on machine learning teams, ideally in a startup environment. Ability to understand business problems and build models that drive value quickly, while prioritizing research efforts accordingly. Skill in clearly communicating modeling setup and results at various levels of abstraction. Knowledge of chemistry principles and methods, with the capability to interpret results and communicate effectively. Good problem-solving skills, innovative thinking, and adherence to product development processes. Strong communication and quantitative skills. Minimum B2 Level of English capacity. Coding expertise in Python and Pythorch.
Job Title
Computational Chemist