William Song
About William Song
William Song is a Software Engineer with expertise in machine learning and cloud computing. He has worked at various companies, including Scale AI and Lyft, and holds a Bachelor's degree in Electrical Engineering and Computer Science from the University of California, Berkeley.
Current Role at ScaleAI
William Song has been employed as a Software Engineer at Scale AI since 2021. He works in San Francisco, California, where he focuses on enhancing machine learning capabilities within cloud environments. His role involves contributing to the development of machine learning infrastructure, which is crucial for the company's operations in artificial intelligence.
Previous Experience in Software Engineering
Prior to his current position, William Song held several internships and roles in software engineering. He worked at Lyft as a Software Engineer in the Self-Driving Division from 2019 to 2021. Before that, he completed internships at Arista Networks in 2015, Sift Science in 2017, and Hortonworks in 2016, where he gained experience in machine learning and software development.
Education and Expertise
William Song earned a Bachelor's degree in Electrical Engineering and Computer Science from the University of California, Berkeley. He studied there from 2016 to 2019. His academic background provides a strong foundation for his work in software engineering, particularly in machine learning and cloud computing technologies.
Machine Learning and Cloud Computing Focus
William Song has a keen interest in integrating machine learning with cloud computing technologies. This focus is evident in his contributions to projects aimed at enhancing machine learning capabilities, particularly during his time at Scale AI and previous roles. His work reflects a commitment to advancing the intersection of these two fields.