Jordan Huffaker is a machine learning engineer and HCI researcher with a PhD from the University of Michigan and nine years of experience building human-AI systems that understand social and cultural references. He combines academic rigor—publishing at CHI and prototyping crowdsourced interfaces—with hands-on software engineering in TypeScript/React, Python, and cloud deployments. Jordan has moved research into product contexts, from translator-assist features at Lilt to production ML work at Apple, and has experience fine-tuning language models like BERT. He is comfortable across the stack—frontend experiments, backend APIs, databases, and statistical analysis—and frequently integrates crowd-sourced data collection into model development. Based in the Greater Seattle Area, he brings a rare blend of user-centered research and production engineering that helps AI systems reason about nuanced social language.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Human Computer Interaction, Doctor of Philosophy - PhD Human Computer Interaction at University of Michigan
Bachelor of Science (B.S.) Computer Engineering, Bachelor of Science (B.S.) Computer Engineering at Purdue University
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Jordan Huffaker - Machine Learning Engineer at Apple