Maxwell Horton
Machine Learning Researcher at Apple
United States
Summary
🤩
Rockstar🎓
Top SchoolMaxwell Horton is a Machine Learning Researcher with nine years of experience building efficient, real-time computer vision and multimodal AI for commodity hardware. He currently researches at Apple, where he maintains the open-source CoreNet project and focuses on vision, language, and efficiency trade-offs for deployable models. Previously he worked on edge-focused ML at XNOR.AI and built global load-balancing infrastructure at Meta, giving him a rare blend of production systems and on-device ML expertise. Maxwell holds a PhD from the University of Washington and a BS in Computer Science and Physics from Caltech, underscoring strong theoretical foundations paired with practical engineering. He is particularly interested in squeezing high accuracy from tight compute budgets, turning research prototypes into real-world, low-latency systems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, 3.92, Doctor of Philosophy - PhD, 3.92 at University of WashingtonCalifornia Institute of Technology
Github Skills (15)
mscoco10
segmentation9
classification9
computer-vision8
imagenet8
pytorch7
machine-learning7
deep-learning7
object-detection6
controlled5
audience2
minesweeper1
large-language-models1
java1
fine-tuning1
Programming languages (3)
Github contributions (5)
mchorton/imSitu
Jan 2017 - Jun 2017
Contributions:70 pushes, 1 branch in 4 months
mchorton/vsrseg
Jul 2017 - Aug 2017
Contributions:19 pushes, 1 branch in 1 month
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