Data Engineer

• Own the end-to-end data collection process, including quality control, sourcing, and annotation setup.
• Collect and curate custom datasets, including setting up the annotation pipeline, quality control, and performing alignment/segmentation procedures.
• Build and maintain scalable, robust data preprocessing workflows and ETL pipelines.
• Evaluate state-of-the-art deep learning models against production data quality metrics.
• Design and conduct rigorous experiments to validate new models and data-driven methods.
• Work closely with external vendors to coordinate and standardize data collection efforts.
• Collaborate closely with product managers, other ML engineers, and developers to translate high-quality data and solutions into production.

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