Survey the latest research in areas such as natural language processing, computer vision, deep learning, and general machine learning
Execute across the end-to-end machine learning lifecycle including data collection and sanitization, data pipeline, model training and evaluation, production releases, and service deployment
Engage in strategic discussions and help build tactical road-maps & timelines for the AI research team
Run ad-hoc data science studies to explore new ideas and present to the broader team
Work closely with different functions to promote new ML solutions to production and iterate on existing ones
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