Scientific Data Engineer for ML-Ready Datasets
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Summary
Data engineer at Zenithon AI (London or San Francisco) who turns raw simulation and instrument data into clean, training-ready ML datasets — standardizing formats like Zarr, defining schemas, and automating terabyte-scale pipelines while working with physicists and ML researchers.
Zenithon in London or San Francisco seeks a data engineer to turn raw simulation and instrument data into clean, training-ready datasets. You’ll standardize formats like Zarr, set schemas, and automate pipelines at terabyte scale.
You’ll work with physicists and ML researchers to extract meaningful quantities, validate data, and document metadata. A physics or related degree and strong Python stack are required.