Jacob Krantz
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJacob Krantz is an AI research-focused software engineer with nine years of experience bridging academic rigor and industry impact across embodied AI and robotics. Currently a Member of Technical Staff at Amazon’s Frontier AI & Robotics lab, he previously held research scientist roles at Meta and multiple FAIR internships where he worked on navigation and embodied agent problems. He holds a PhD in Computer Science from Oregon State University and has a deep background in NLP, having published and presented work since his undergrad research at Gonzaga. Jacob combines hands-on systems and research skills—building experiments, mentoring students, and shipping prototypes—while operating comfortably at the intersection of ML research and production engineering. Based in Menlo Park, he brings a track record of translating novel research into practical embodied-AI capabilities that scale.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Minor in Physics, Magna Cum Laude, Bachelor of Science - BS, Computer Science, Minor in Physics, Magna Cum Laude at Gonzaga UniversityDoctor of Philosophy - PhD, Computer Science, 3.93, Doctor of Philosophy - PhD, Computer Science, 3.93 at Oregon State University
Github Skills (26)
artificial-intelligence10
robotics10
modular10
python10
simulator10
reinforcement-learning10
vision-and-language10
deep-learning10
ai10
computer-vision10
deep-reinforcement-learning10
machine-learning9
genetic9
probabilistic8
genetic-algorithm8
Programming languages (3)
Github contributions (5)
jacobkrantz/Simple-HOHMM
Dec 2017 - Mar 2018
Contributions:23 commits, 42 pushes, 2 branches in 2 months
vln-lab/habitat-api
Sep 2019 - Aug 2022
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
Contributions:15 PRs, 41 pushes, 3 branches in 2 years 11 months
game-aisimulatorsembodied-aireinforcement-learninghigh-level
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