Will Hang

Will Hang

Software Engineer @ Snorkel AI

About Will Hang

Will Hang is a Software Engineer with a strong background in AI research and software engineering. He currently leads the Interactive Compute team at Snorkel AI and has held various roles at notable companies including include.ai, DeepMind, and Google.

Work at Snorkel AI

Currently, Will Hang serves as a Software Engineer at Snorkel AI, a position he has held since 2022. He leads the Interactive Compute team, where he focuses on developing low-latency distributed machine learning systems. His role emphasizes exploration and innovation in machine learning, contributing to the advancement of Snorkel AI's technology in the field.

Previous Experience at Include.ai

Will Hang co-founded include.ai and served as its Chief Technology Officer from 2019 to 2021. After his tenure, he transitioned to an advisory role in 2021, where he continues to provide guidance and expertise for the company. His experience at include.ai reflects his commitment to advancing machine learning technologies.

Experience at DeepMind and Google

In 2018, Will Hang worked as a Research Engineer at DeepMind for 11 months. He also held positions at Google, where he worked in AI Research at Google Brain for one year and as a Software Engineer for 11 months in the same year. His roles at these leading organizations contributed to his expertise in artificial intelligence and machine learning.

Education and Expertise

Will Hang holds a Master of Science (MS) and a Bachelor of Science (BS) in Computer Science from Stanford University. His educational background, combined with his extensive experience in AI research and software engineering, equips him with the skills necessary to develop advanced machine learning systems.

Background in Software Engineering and AI Research

Will Hang has a diverse background that includes roles in software engineering and AI research. He has worked at various organizations, including Salesforce, ZhenFund, and Stanford University, where he contributed to projects in machine learning and software development. His career reflects a strong foundation in both practical engineering and theoretical research.

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