Junjue Wang
Senior Machine Learning Engineer at Apple
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJunjue Wang is a Senior Machine Learning Engineer in San Francisco with 11 years of experience bridging research and production ML systems, currently building ML software and infrastructure for Siri and Apple Vision Pro. He holds a PhD from Carnegie Mellon where he pioneered real-time edge video analytics and wearable cognitive assistants, and brings that systems-first perspective to large-scale ML engineering. Previously as Principal Software Engineer at SambaNova he led the creation of the Sambaflow framework, designed a lossless tiling algorithm for ultra-high-resolution CNN training, and led a performance effort that improved CNN training throughput tenfold, with multiple patents issued. Junjue combines deep research credentials with hands-on compiler and accelerator co-design—authoring MLIR-based optimizers and balancing on-chip compute, memory, and DRAM bandwidth—to deliver production-grade performance. He is comfortable translating academic ideas into product-ready infrastructure and has a track record of hiring and scaling high-performance engineering teams.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Engineering & Computer Sciences, Bachelor of Science (B.S.), Computer Engineering & Computer Sciences at University of Wisconsin-MadisonDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Carnegie Mellon University
English, Chinese
Github Skills (89)
windows10
linux10
object-detection-api10
transfer-learning10
shell10
cli10
console10
bsd10
django-rest-framework10
android10
custom-vision10
documentation10
bandwidth10
tensorflow-serving10
command-line10
Programming languages (10)
Github contributions (5)
junjuew/junjuew.github.io
Aug 2016 - Aug 2023
Contributions:102 pushes, 2 branches in 7 years 1 month
personal-resumejekylljekyll-theme
cmusatyalab/elijah-openstack
Jul 2018 - Sep 2018
Elijah OpenStack integration
Contributions:40 commits, 32 pushes, 3 branches in 2 months
elijahopenstack
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