Xiaosu Tong
Staff Machine Learning Scientist at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolXiaosu Tong is a Staff Machine Learning Scientist with 11 years of experience specializing in speech recognition and applied ML, currently driving research at Meta after a productive tenure at Amazon Alexa. He led productized ASR innovations—such as the first long-form RNN-T for Alexa, streaming ResLSTM for voice-intent detection, and telephony codec augmentation—that yielded double-digit relative WERRs in production. His background blends a PhD in Computational Statistics from Purdue with hands-on engineering to bridge rigorous statistical methods, large-scale distributed systems (YARN/Hadoop), and practical ML deployment. Xiaosu has also shaped evaluation strategies for LLMs in specialized domains (shopping and medical) and mentored multiple internship research projects, showing strength in both science leadership and product delivery. A detail often missed: his academic work on divide-and-recombine and differential-privacy-aware methods underpins a rare combination of scalable data engineering and privacy-conscious statistical modeling.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Statistics, Doctor of Philosophy (Ph.D.) Computational Statistics at Purdue UniversityBachelor Mathematics, Bachelor Mathematics at Shenyang Jianzhu University
English, Chinese
Github Skills (10)
python8
gpu7
machine-learning7
deep-learning7
numpy5
neural-network5
gpu-acceleration3
tensor3
hadoop2
autograd2
Programming languages (2)
Github contributions (5)
XiaosuTong/Spaloess
Dec 2015 - May 2017
Contributions:1 PR, 89 pushes, 1 branch in 1 year 5 months
delta-rho/docs-RHIPE
Jul 2014 - Apr 2015
Contributions:129 commits, 2 PRs, 1 comment in 9 months
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