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Prometheus

[MAT] Applied Computational Surface Chemist

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Job Description

The Role We're hiring an Applied Computational Surface Chemist to build rigorous evaluations and benchmarks for Prometheus's materials models across ALD/ALE, catalysis, and other surface chemistry problems. You'll work closely with ML researchers, computational scientists, and experimental teams to ensure our models can solve complex, real-world surface chemistry problems. What You'll Do Build state-of-the-art evaluations and benchmarks for ALD, ALE, catalysis, and related surface chemistry problems Translate real-world industrial and research problems into rigorous model evaluation tasks Apply computational surface chemistry methods to validate model predictions Identify challenging edge cases that require deep domain expertise Work with experimental teams to benchmark predictions against physical results and continuously improve evals Partner with ML researchers to identify model failure modes and prioritize areas for improvement What We're Looking For Deep expertise in computational surface chemistry, heterogeneous catalysis, or related fields Strong experience applying computational methods to real-world surface chemistry problems Experience with ALD/ALE, semiconductor process chemistry, or industrial catalysis is a plus Strong understanding of adsorption, reaction mechanisms, surface energetics, and kinetics Experience working closely with experimentalists and validating computational predictions Ability to independently reason through difficult or unusual surface chemistry problems