Pichao Wang

Principal Machine Learning Engineer @ NVIDIA

About

Dr. Pichao Wang is currently a principal machine learning engineer at Nvidia. He received the Ph.D. degree in computer science from the University of Wollongong, Australia, 2017. He has authored 120+ peer reviewed papers, including those in highly regarded journals and conferences such as IEEE TPAMI, IJCV, IEEE TIP, IEEE TMM, IEEE THMS, CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, ACM MM, etc. He is the recipient of Best Student Paper Award in CVPR 2022. The google citation of Dr. Wang is 14, 000+, with h-index 56. He was named AI 2000 Most Influential Scholar during 2012-2022 by AMiner. He is also in the list of World’s Top 1% Scientists named by Stanford University. Homepage: https://wangpichao.github.io/.

Country

United States

City

Redmond

Industry

Computer Software

Skill

Computer Vision, Deep Learning, Data Analysis, C/C++, CUDA, Python, Matlab

Experience

Principal Machine Learning Engineer

NVIDIA

2025-11 - Present · 11 mos

Redmond, Washington, United States

End-To-End Autonomous Driving: VLM; VLA; World Model; Embedded AI.

Senior Applied Scientist@Amazon AGI

Amazon

2024-9 - 2025-11 · 1 yr 3 mos

Bellevue, Washington, United States

AGI Foundations:MM-RAG; Message Machine; Vertical AI Agents; Large Model Customization; Diffusion-based Visual Generation; ControlNet-based Visual Generation; AR Model for Visual Generation; Next-Generation Generative Technology; LLM Code generation; Web App Generation.

Senior Research Scientist@Amazon Prime Video

Amazon

2022-10 - 2024-9 · 2 yrs

Seattle, Washington, United States

Multilingual Translation; LLMs; Multimodal Large Language Model; Text-to-Video Retrieval; Text-to-Video Generation; Diffusion Model; RLHF/RLAIF; DPO/xPO; Visual/Audio Reasoning; Visual/Audio tokenizer; Multimodal Video Analysis; etc.

Staff Algorithm Engineer

Alibaba Group

2022-8 - 2022-10 · 3 mos

Bellevue, Washington, United States

Efficient Vision Transformer; Explainable Vision-Lauguage Models; Large Model Finetuning; Data-Centric Vision Transformer; Semantic Segmentation.

Senior Algorithm Engineer

Alibaba Group

2018-9 - 2022-8 · 4 yrs

Bellevue, Washington, United States

Vision Transformer; Image Representation; Video Analysis; 3D Computer Vision; Multi-modal Representation; (2D/3D)Object Detection; Semantic Segmentation; Pose Estimation; NAS; etc.

Researcher

Motovis 魔视智能

2017-10 - 2018-6 · 9 mos

Shanghai City, China; Adelaide, Australia

Fixed-point quantization networks, pixel-level semantic labeling, intelligent headlight control.

Senior Researcher

INTELLIFUSION

2017-7 - 2017-10 · 4 mos

Shenzhen, Guangdong, China

Human Attribute Recognition using Deep Multi-task Learning; Denoising using Deep Learning; Deep Metric Learning for fine-grained object recognition/retrieval; Compact Convolutional Neural Networks, etc.

Software Engineer

北京汉泽科技有限责任公司

2013-7 - 2013-11 · 5 mos

Beijing City, China

I was employed as a Software Engineer at Beijing Hanze Technology Co., ltd and I was in charge of the development of software about video enhancement, including FFMpeg video decoding, video enhancement algorithms, denoising algorithms, and H.264 coding by CUDA.

Software Engineer

北京五岳鑫信息技术股份有限公司

2011-5 - 2011-12 · 8 mos

Beijing City, China

I was employed as a Software Engineer at Beijing Maystar Information Technology Co., ltd , and I was in charge of decrypting the Office documents based on GPU.

Software Engineer

天津大学宽带无线通信与立体成像研究所

2010-7 - 2011-6 · 1 yr

Tianjin City, China

I participated a National High-tech R&D Program (863 Program) project at Institute of Wideband Wireless Communication and 3D Imaging (IWWC&3DI): Multi-view video acquisition and demonstration system (2009AA011507). I was in charge of adaptive definition adjustment and format conversion in 3D video network and implemented the 3D video combination algorithm using paralleled methods based on CUDA.