Jonah Siekmann
Reinforcement Learning Research Engineer at Agility Robotics
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolJonah Siekmann is a reinforcement learning research engineer with nine years of experience applying deep RL to real-world robotics, currently building learning-driven control at Agility Robotics in Portland. He earned an MS in Computer Science from Oregon State University and as a graduate researcher helped demonstrate novel bipedal behaviors—like skipping and vision-free stair-climbing—on full-scale robots through published work. Jonah’s background spans the full ML systems stack, from embedded firmware and compiler work at Halliburton and Cadence to recurrent architectures for sim-to-real transfer, giving him rare fluency in both low-level systems and research-grade learning algorithms. He combines hands-on engineering with reproducible research, and is motivated by pushing theoretical RL methods into robust physical systems.
8 years of coding experience
3 years of employment as a software developer
Honors Bachelor of Science (HBS), Computer Science, Honors Bachelor of Science (HBS), Computer Science at Oregon State University Honors CollegeMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Oregon State University
Github Skills (57)
parallel10
recurrent10
mahjong10
reinforcement-learning10
robot10
ray10
optimization10
data-science9
robotics9
simulation9
pytorch9
agility9
java9
scaling9
python9
Programming languages (5)
Github contributions (5)
siekmanj/rrl
Nov 2019 - Feb 2020
Recurrent continuous reinforcement learning algorithms implemented in Pytorch
Contributions:14 PRs, 156 pushes, 17 branches in 3 months
pytorchreinforcement-learning-algorithmsdeep-learningreinforcement-learningcontinuous
OSU-CS290-Sp2017/final-project-sikihaja
Jun 2017 - Jun 2017
Contributions:41 commits, 2 PRs, 33 pushes in 7 days
etchfadesokaysketchreally
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.