Jacob Phillips
About Jacob Phillips
Jacob Phillips is a Machine Learning Research Engineer currently employed at Scale AI in San Francisco, California. He holds a Master of Engineering in Computer Science from the Massachusetts Institute of Technology, where he also completed his Bachelor of Science.
Work at ScaleAI
Jacob Phillips currently serves as a Machine Learning Research Engineer at Scale AI, a role he has held since 2022. He is based in San Francisco, California, where he contributes to the development and implementation of machine learning solutions. His experience at Scale AI follows a brief internship with the company in 2021, where he gained foundational insights into the company's operations and projects.
Education and Expertise
Jacob Phillips pursued his education at the Massachusetts Institute of Technology (MIT), where he earned a Master of Engineering (MEng) in Computer Science in 2021. Prior to this, he completed a Bachelor of Science (BS) in Computer Science at MIT from 2017 to 2021. His academic background equips him with a strong foundation in machine learning and artificial intelligence.
Background
Before his current position at Scale AI, Jacob Phillips co-founded Themis AI, serving as the Chief Technology Officer (CTO) from 2021 to 2022. He also gained experience as an AI Venture Fellow at Innospark Ventures from 2020 to 2021. His earlier roles include internships at Wayve and Skydio, where he focused on reinforcement learning and autonomy, respectively.
Research Experience
Jacob Phillips worked as a Graduate Research Assistant at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) from 2021 to 2022. In this role, he engaged in advanced research projects that contributed to the field of artificial intelligence, further enhancing his expertise and experience in machine learning.