Vincent Bui
About Vincent Bui
Vincent Bui is a Technical Sourcer at Anyscale in San Francisco, California, where he has worked since 2021. He has previously held sourcing roles at companies such as Google, Nuro, and Matterport, and has a background in Political Science from UC Santa Barbara.
Work at Anyscale
Vincent Bui has been employed at Anyscale as a Technical Sourcer since 2021. In this role, he focuses on enabling organizations to accelerate their AI application progress. Anyscale is known for its work in distributed computing and scalable machine learning, particularly through the open-source project Ray, which Vincent has contributed to. His responsibilities include sourcing technical talent to support the company's growth and innovation in AI technologies.
Previous Experience in Technical Sourcing
Vincent Bui has extensive experience in technical sourcing, having worked at several prominent companies. He served as a Technical Sourcer at Nuro from 2019 to 2021, where he contributed to sourcing talent for autonomous delivery solutions. Prior to that, he worked at Google from 2017 to 2019, focusing on sourcing candidates for various technical roles. His earlier experience includes a year as a Technical Sourcer at Matterport in 2016 and 2017.
Sales Experience at ZARA USA
Before transitioning to a career in technical sourcing, Vincent Bui worked as a Sales Associate at ZARA USA from 2013 to 2015. In this role, he gained experience in customer service and retail operations, which contributed to his interpersonal skills and understanding of consumer needs.
Educational Background
Vincent Bui studied at the University of California, Santa Barbara, where he earned a Bachelor’s Degree in Political Science and International Relations. This educational background provided him with a foundation in analytical thinking and understanding complex systems, which are valuable in his current technical sourcing role.
Contributions to Open Source Projects
Vincent Bui has contributed to the commercialization of the open-source project Ray, which is focused on distributed computing and scalable machine learning. His involvement in this project highlights his commitment to advancing technology and supporting innovative solutions in the AI space.