Scientific Data Engineer for ML-Ready Datasets

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.