Summary
Xintong Li is a Machine Learning Research Engineer with a decade of experience specializing in neural machine translation and sequence-to-sequence modeling, currently advancing machine translation at Apple in Cupertino. With a PhD in Machine Translation and prior roles spanning academia and industry—including postdoctoral work on controllable NLG and research on simultaneous translation—she blends deep theoretical grounding in optimization and probability with pragmatic engineering in C/C++, Python, and bash. She excels at formulating research problems, designing rigorous experiments, and deploying solutions using standard open-source NLP toolkits. Notably, her work bridges real-time translation research (simultaneous MT) and production-focused translation systems, reflecting both cutting-edge research instincts and product-aware implementation.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Automation, 3.78/4.0, Bachelor's degree, Automation, 3.78/4.0 at Northeastern University (CN)
The Chinese University of Hong Kong (CUHK)