An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
About 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.
More about this role
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...
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