Summary
Tony Wang is an engineering manager and ML expert with a decade of experience building production-grade machine learning systems at scale, currently leading Avatar ML Foundations at Meta to advance computer vision and recommendation technologies for the metaverse. He has driven end-to-end ML initiatives across jobs recommendations, intent prediction, and ecosystem growth at Facebook, and previously optimized TensorFlow and XLA performance at Google Brain—including TPU adaptations and ML-for-systems research. Tony’s background combines deep research (PhD in Computer Engineering) with practical systems engineering, from novel solvers for large linear systems to patented work on neural network-based IC floorplanning. He’s comfortable shipping across the stack—modeling, infrastructure, and product-facing personalization—while tackling cold-start, integrity, and adoption challenges. Based in the San Francisco Bay Area, he blends academic rigor with large-scale product impact and a clear focus on automating creative workflows through ML. An understated strength is his track record of squeezing orders-of-magnitude performance improvements in computational systems, informing scalable ML product designs.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at Texas A&M University
Bachelor of Engineering, Electrical Engineering, Bachelor of Engineering, Electrical Engineering at Xian Jiaotong University
English, Chinese