Jiancheng Liu is a Member of Technical Staff at OpenAI with a decade of experience building and researching large-scale AI systems, currently contributing to the GPT-5 and gpt-oss model efforts. His background blends academic research in AI trustworthiness and machine unlearning with applied work on LLM safety, red-teaming, and privacy from roles at IBM and Michigan State University. Earlier engineering and research stints—from Taichi Graphics (differentiable physics and infrastructure for Taichi Lang) to internships at MIT, Cornell, and Megvii—underscore a strong foundation in both systems and algorithmic research. Based in San Francisco, he brings rare cross-cutting expertise in model development, safety engineering, and tooling for reproducible AI. Colleagues would note his pattern of moving between foundational research and production-oriented model contributions, making him effective at turning security-focused research into deployable model improvements.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering, Computer Science (Yao Class), Bachelor of Engineering, Computer Science (Yao Class) at Tsinghua University
Master of Science, Computer Science and Engineering, Master of Science, Computer Science and Engineering at Michigan State University
"SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu
Contributions:1 review, 2 PRs, 34 pushes in 1 year 1 month
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Jiancheng Liu - Member Of Technical Staff at OpenAI