Data Engineer (Detect & Track Distillation)

About this job

ABOUT THE ROLE Our ML teams train models on datasets derived from large volumes of raw, unstructured data. Model quality depends directly on data quality, and today that data is handled largely by hand. As a Data Engineer, operating out of Paris, Lausanne, or Zurich, you will own the data layer that feeds the team's models, from raw field logs or public datasets through curated, versioned, training-ready datasets. You will manage terabytes of raw, unstructured data and turn it into clean, documented, versioned datasets, so that the modelers spend their time designing and training models, not waiting on data loaders or wrangling corrupted files. You join at an early stage with real influence over how field and public data gets processed for deep-learning pipelines.…

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