Jordan Juravsky
AI Research Scientist at Stanford Artificial Intelligence Laboratory (SAIL)
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJordan Juravsky is an AI research scientist at Meta and a PhD student (on leave) at Stanford SAIL with seven years of experience building and researching deep learning systems across industry leaders and research labs. His background spans applied research internships at NVIDIA, Cerebras, Groq, and multiple roles at Facebook/Facebook AI focused on neural compression, machine translation, and accelerator-aware algorithms. Jordan combines a software engineering foundation from Waterloo in combinatorics and optimization with hands-on work optimizing models for novel hardware, making him fluent in both theory and production constraints. Based in Palo Alto, he moves between cutting-edge research and pragmatic engineering, with a trajectory that hints at expertise in model efficiency and systems co-design that isn’t immediately obvious from job titles alone.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Software Engineering Joint Major in Combinatorics and Optimization, Bachelor of Software Engineering Joint Major in Combinatorics and Optimization at University of WaterlooDoctor of Philosophy - PhD (On Leave) Computer Science, Doctor of Philosophy - PhD (On Leave) Computer Science at Stanford University
Github Skills (36)
compression9
minecraft9
discord-bot9
adapter9
python8
deep-learning8
virtual-assistant8
gpu8
machine-learning8
pytorch7
cuda7
lora6
neural-network6
tensorflow6
inference6
Programming languages (6)
Github contributions (5)
jordan-benjamin/pydra
Aug 2024 - Mar 2025
Simple, flexible configuration in pure Python!
Contributions:1 PR, 20 pushes in 7 months
jordan-benjamin/craftassist
Apr 2020 - Aug 2020
A virtual assistant bot in Minecraft
Contributions:16 pushes, 1 branch in 4 months
minecraftassistantbotdiscord-botassistant-bot
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