Summary
Xiaojie Wang is a Senior Applied Scientist in Seattle with six years building AI/ML systems across robotics, search, and recommendations, currently training vision-language-action foundation models for robotic automation at Amazon Fulfillment Technologies & Robotics. With a PhD in Computer Science from the University of Melbourne and dual undergraduate degrees in Applied Mathematics and Computer Science, she combines rigorous mathematical foundations with production-grade engineering. Her Amazon work spans LLM productization, product ranking, and search relevance, where she has delivered scalable ranking pipelines and deep-learning feature discovery tooling. Comfortable in high-performance computing and parallelized optimization, she brings both research instincts and hands-on software craft to move models from prototype to production. An applied mathematician by training, she often bridges algorithmic innovation and systems engineering in large-scale, latency-sensitive environments.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Renmin University of China
The University of Melbourne
English, Chinese