Cooper Raterink
About Cooper Raterink
Cooper Raterink is an AI Engineer currently employed at Notion in New York City. He has a background in machine learning and has held various positions at Stanford University and other organizations in the field of artificial intelligence.
Current Role at Notion
Cooper Raterink is currently employed as an AI Engineer at Notion, a position he has held since 2023. He works in New York, New York, United States. In this role, he focuses on developing and implementing artificial intelligence solutions to enhance Notion's product offerings.
Previous Experience at Stanford University
Cooper Raterink has a notable history with Stanford University, where he served as an Instructor in the Computer Science Department from 2018 to 2020. Additionally, he contributed to the Election Integrity Partnership for three months in 2020. His work at Stanford involved engaging with students and contributing to academic projects.
Experience in Machine Learning Engineering
Before joining Notion, Cooper Raterink worked as a Machine Learning Engineer at Hebbia AI from 2022 to 2023. He also held a similar position at Cohere from 2021 to 2022, where he focused on machine learning projects. His experience in these roles has contributed to his expertise in AI technologies.
Educational Background
Cooper Raterink holds a Bachelor’s Degree in Electrical and Electronics Engineering from The University of Texas at Austin, which he completed from 2014 to 2018. He furthered his education at Stanford University, where he earned a Master’s degree in Computer Science with a focus on AI from 2018 to 2020.
Research and Policy Work
In 2019, Cooper Raterink worked at the Stanford Institute for Economic Policy Research, focusing on AI and the Future of Work for three months. This role involved exploring the implications of AI technologies on economic policies and labor markets.