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This research role focuses on measuring where voice AI models fall short for customers, then fixing those gaps through fine-tuning, new data, and external models. The researcher designs evaluations, curates data, and ships improvements to production within weeks. It calls for deep experience training and evaluating deep learning models, strong Python and PyTorch skills, and a record of shipping ML systems.