Summary
Zhenbang Wang is a Machine Learning Scientist based in Mountain View with 10 years of experience building ML systems for foundation models, ads ranking, recommendation, and autonomous perception. He led perception ML at Nuro as a staff engineer, delivering multimodal foundation models that fuse cameras, lidar, and radar for real-time 3D detection, occupancy, flow, and localization while building petabyte-scale data pipelines and latency-optimized training/inference stacks. Now at Apple, he focuses on multimodal LLMs and native image generation, bridging research-grade models with production constraints. His background spans academic NLP and adversarial ML at UIUC to production ads prediction at Yahoo, giving him a rare blend of research depth and large-scale engineering pragmatism. Colleagues rely on him for system-level thinking—automating model distillation, large MoE deployments, and architecture search to make complex models practical in real-world robotic and consumer domains.
10 years of coding experience
8 years of employment as a software developer
Electrical Engineering and Computer Science, Electrical Engineering and Computer Science at University of California, Berkeley
Peking University High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Illinois Urbana-Champaign