Penn J.

Machine Learning Research Engineer @ ScaleAI

About Penn J.

Penn J. is a Machine Learning Research Engineer at Scale AI in San Francisco, California, with a diverse background in machine learning and web development. He has held various positions in the tech industry since 2014, including roles at Zesty.ai and SVXR.

Work at ScaleAI

Currently, Penn J. serves as a Machine Learning Research Engineer at Scale AI, a position held since 2023. This role is based in San Francisco, California. At Scale AI, Penn focuses on advancing machine learning technologies and contributing to projects that leverage artificial intelligence for various applications.

Previous Experience in Machine Learning

Prior to joining Scale AI, Penn J. worked at Zesty.ai in two capacities: first as a Machine Learning Engineer from 2019 to 2021, and then as a Senior Machine Learning Engineer from 2021 to 2022. Both roles were based in the San Francisco Bay Area, where Penn contributed to the development and implementation of machine learning models.

Background in Web Development

Penn J. began their career in technology as a Web Developer at Horse Network from 2015 to 2016. This role, based in Burlington, Vermont, involved creating and maintaining web applications, which laid the foundation for a transition into machine learning engineering.

Education and Expertise

Penn J. holds a Bachelor of Science (BS) degree in Computer Science from The University of the South, where they studied from 2011 to 2015. Additionally, Penn attended St. Paul's School from 2007 to 2011, completing their secondary education. This educational background supports their expertise in machine learning and data science.

Early Career and Leadership Roles

Before entering the tech industry, Penn J. held a leadership position as Student Chief at Sewanee Fire Department from 2012 to 2015. This role involved responsibilities that developed leadership and teamwork skills. Additionally, Penn worked at Keewaydin Camp in Ontario, Canada, as a Guide and Assistant Guide in 2011 and 2012, respectively.

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