Tyler Giallanza is a Senior Machine Learning Engineer with 11 years of experience who blends academic rigor from a PhD program in Psychology and Neuroscience at Princeton with hands-on product work in search and recommendations at Uber. He builds retrieval, ranking, and suggestion systems for Uber Eats, applying neural network and reinforcement learning expertise developed through graduate research on memory, learning, and decision-making. His background spans applied science internships, strategy consulting, and founding an educational tech camp, reflecting both technical depth and strategic product thinking. Comfortable moving models from theory to production, he leverages interdisciplinary training—from Oxford computer science to neuroscience—to tackle user-facing ML challenges in high-scale environments.
11 years of coding experience
5 years of employment as a software developer
Computer Science, Computer Science at University of Oxford
B.S. Computer Science, B.S. Computer Science at Southern Methodist University
Doctor of Philosophy - PhD, Psychology/Neuroscience, Doctor of Philosophy - PhD, Psychology/Neuroscience at Princeton University
Contributions:122 pushes, 2 branches in 1 year 3 months
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Tyler Giallanza - Senior Machine Learning Engineer at Uber