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ML Engineer — Data Quality
full-time
senior
About this role
Build ML systems that ensure data quality at scale. Design automated quality metrics, build data validation pipelines, and develop models that detect labeling errors.
Scale powers the training data for the world's best AI models. Your work directly impacts model performance.
Requirements
MS/PhD in CS or related field. Experience with NLP and/or computer vision. Python/PyTorch. Experience with data annotation or active learning preferred.