Tyler Johnson
Machine Learning Research Engineer at Apple
United States
Summary
👤
Senior🎓
Top SchoolTyler Johnson is a Machine Learning Research Engineer at Apple and a PhD candidate in Machine Learning at the University of Washington with 12 years of experience spanning ML, computer science, and signal processing. He pairs rigorous academic training with industry impact, applying research-grade techniques to production problems in a high-scale consumer technology environment. Trained in both computer and electrical engineering at the University of Michigan, he brings a hardware-aware perspective to algorithm design and signal-centric model development. Known for bridging theory and practice, Tyler often translates complex research into deployable systems and tools that improve real-world performance. Visit his personal webpage at tbjohns.com for publications and deeper technical highlights.
12 years of coding experience
PhD, Machine Learning, PhD, Machine Learning at University of WashingtonBSE, Computer Science Engineering, Electrical Engineering, BSE, Computer Science Engineering, Electrical Engineering at University of Michigan
Github Skills (27)
loss10
sat-solver8
sat8
portable7
java7
gradient7
machine-learning7
nim-language7
scalable6
metaprogramming6
distributed-systems6
python6
scala6
xgboost6
spark6
Programming languages (2)
Github contributions (5)
tbjohns/BlitzML
Sep 2017 - Jun 2018
Contributions:17 commits, 12 pushes, 3 branches in 8 months
tbjohns/StingyCD
Aug 2017 - Feb 2020
Contributions:1 push, 4 branches in 2 years 6 months
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