About

Jason (Jilong) Wu is a highly experienced Senior Machine Learning Engineer with over 9.95 years of relevant experience in the field of AI and ML. Currently, he is working as a Fellow at miracleplus, formerly known as Y Combinator China, where he is responsible for AI Speech Synthesis for VR/AR. He is also involved in generative modeling, self-supervised learning, voice conversion, and speech synthesis. Previously, Jason worked as a Senior Machine Learning Engineer at Facebook AI, where he gained extensive experience in the field of AI. He was responsible for developing and implementing machine learning models to improve the performance of various Facebook products. Prior to that, he worked as a Software Engineer at Google, where he developed and maintained software systems for various Google products. Jason has a strong educational background in Electrical and Computer Engineering, having completed his Master of Engineering degree from Cornell University. He also holds a Bachelor of Science degree in Electrical and Computer Engineering from Cornell University, where he was on the Dean's List. Jason transferred to Cornell University from Texas A&M University, where he studied Electrical Engineering. He completed his high school education in Science from Harbin No.3 High School. Jason has a deep understanding of various AI and ML technologies and is proficient in supervised learning, research scientist, and software engineering. He has a strong track record of developing end-to-end AI products, from modeling research and prototyping to product service deployment. Overall, Jason is a highly skilled and experienced Senior Machine Learning Engineer with a passion for developing cutting-edge AI technologies. His strong educational background and extensive experience make him a valuable asset to any organization operating in the AI and ML space.