Summary
Tianjian Meng is a Senior Machine Learning Engineer with nine years of experience building multimodal and agentic AI systems across industry and academia, currently working on Gemini@Waymo semantics. He previously served as a Research Scientist at Microsoft Core AI focusing on AI safety and multimodal research, and has production and research experience from roles at Google (AutoML/Google Brain) and top universities including UT Austin, CMU, and Pittsburgh. Tianjian blends hands-on engineering and research, shipping scalable ML systems while publishing and prototyping at the intersection of safety and large multimodal models. He holds an MS in Computer Science from UT Austin and graduated summa cum laude from the University of Pittsburgh, reflecting a track record of rigorous academic training paired with applied ML impact. An under-the-radar strength is his mobility across research and product teams, enabling rapid translation of safety-focused research into real-world autonomous and cloud AI features.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
Bachelor's Degree, Transferred out, Computer Science and Technology, Bachelor's Degree, Transferred out, Computer Science and Technology at Beijing Jiaotong University
Bachelor’s Degree, summa cum laude, Computer Science, Bachelor’s Degree, summa cum laude, Computer Science at University of Pittsburgh
Non-Degree/Visiting student, Computer Science, Non-Degree/Visiting student, Computer Science at Carnegie Mellon University
Chinese, English