Hang Wu in

Hang Wu

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Member of Technical Staff at Perplexity
📍 Menlo Park, California, United States

Hang Wu is a machine learning specialist at Perplexity, focusing on LLM post-training and reward hacking. A Ph. D. graduate from Georgia Institute of Technology, his expertise is in reinforcement learning, which he previously applied at scale as a Staff Research Scientist at ByteDance to enhance user personalization systems.

He has a consistent track record of applying machine learning to solve complex problems, from improving video compression speed at Google to enhancing medical image segmentation at Intuitive Surgical.

Unique fact: He describes his career focus on optimizing complex systems with the phrase, "different rewards, same hacking. "

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Experience
7 Years
Current Role
Member of Technical Staff
Location
Menlo Park, California, United States
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Priorities

Topics Hang cares about

LLM Alignment
His current role at Perplexity involves "reward hacking" for large language model post-training, a critical component of ensuring AI systems align with human intent.
Applied Reinforcement Learning
At ByteDance, he architected and scaled the end-to-end infrastructure for RL-based user personalization models for platforms like TikTok.
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Career

Work history

9-2025
Member of Technical Staff
Perplexity
9-2020 - 10-2025
Staff Research Scientist
ByteDance
8-2015 - 5-2020
Graduate Research Assistant
Georgia Institute of Technology
5-2018 - 8-2018
Software Engineer Intern
Google
5-2017 - 8-2017
Machine Learning Intern
Intuitive Surgical
In the press

Media appearances

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Education
2015 - 2020
Doctor of Philosophy (Ph.D.)
Georgia Institute of Technology
2010 - 2014
Bachelor of Engineering (B.Eng.)
Tsinghua University
Social presence
in
Behavioral profile

DISC profile (public)

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