RE/RS, Data Understanding - Foundations

Lead data understanding research to curate, transform, and evaluate large-scale pretraining data. Create high-quality datasets and quantized representations, run rigorous experiments to understand how data choices affect model learning, and build scalable pipelines to translate research into production data processing. Collaborate with frontier models and emphasize data quality, provenance, and empirical validation.