Nathaniel See is a Machine Learning Engineer at Snap Inc. since August 2024, previously serving as Lead Machine Learning Research Scientist at Omneky from January 2023 to August 2024. Prior experience includes working at Meta as an Applied Research Scientist (Machine Learning) from December 2021 to January 2023, where Nathaniel led projects on multi-modal deep learning models for intellectual property infringement detection and enhanced recommendation systems. Nathaniel's career began at Applied Materials as a Data Scientist from January 2019 to December 2021, focusing on deep neural networks and defect identification in semiconductor production. Earlier roles include Graduate Research Assistant and Graduate Teaching Assistant at UC Irvine, as well as Undergraduate Research Assistant at California State University-Los Angeles. Nathaniel holds a Master of Science in Physics from UC Irvine and a Bachelor of Science in Physics from California State University, Los Angeles.
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