Jingze Zhang
Machine Learning Engineer at Tinder
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolJingze Zhang is a Machine Learning Engineer and PhD candidate in Computational Science based in Palo Alto with eight years of experience applying Bayesian methods and contrastive learning to natural language tasks. Currently at Tinder, he blends research-grade expertise in NLP and probabilistic modeling with production ML engineering, having also taught and developed data-science curricula at FSU. His academic work includes variational inference for Indian Buffet Processes, topic-model visualization, and language style analysis using embeddings—skills that inform practical solutions for text-style identification and transfer. Comfortable across Python, numerical methods, and parallel computing, he brings a strong mathematical foundation and a track record of moving models from research prototypes into applied systems. An understated strength is his breadth of teaching and tooling experience, from course design to department-wide technical support, which helps him communicate complex ideas clearly to engineers and stakeholders.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computational Science, 3.93, Doctor of Philosophy - PhD, Computational Science, 3.93 at Florida State UniversityBachelor of Engineering - BE, Mechanical Engineering, Bachelor of Engineering - BE, Mechanical Engineering at Beihang University
Stackoverflow
35reputation
717reached
0answers
2questions
Github Skills (32)
sequence-labeling10
word-embeddings10
simple-framework10
named-entity-recognition9
pytorch9
language-processing9
natural-language-processing9
nlp9
sentiment8
sentiment-analysis8
machine-learning8
lda8
similarity8
stanford-nlp8
java7
Programming languages (3)
Github contributions (5)
cpuyyp/CRA_network
Nov 2019 - Jun 2022
Contributions:91 commits, 74 pushes in 2 years 6 months
cpuyyp/style-models
Apr 2022 - Jul 2023
Contributions:68 pushes, 1 branch in 1 year 3 months
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