Junen Low
Machine Learning Engineer at Waymo
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolJunen Low is a machine learning engineer with a decade of experience building zero-shot end-to-end autonomy systems that use learned visual scene representations to train policies that generalize to novel environments. Currently at Waymo after completing a PhD in Mechatronics, Robotics and Automation at Stanford, he blends rigorous research with production-focused engineering to close the loop between perception and control. His work spans academic research and industry internships—at Zipline he improved UAV motion planning and MPC fidelity while reducing tuning complexity by ~60%—demonstrating an ability to translate physics-informed models into practical, stable pipelines. Based in Sunnyvale, he brings deep expertise in perception, real-time control constraints, and scalable autonomous systems, with a track record of shipping internal tooling and novel algorithms that prioritize robustness in real-world deployments.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering - BE Engineering Product Development, Bachelor of Engineering - BE Engineering Product Development at Singapore University of Technology and Design (SUTD)Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering, Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering at Stanford University
Github Skills (39)
px410
autopilot10
mavlink10
drones10
rover10
ros10
robotics9
qgroundcontrol9
matlab9
robot9
raspberry-pi9
hardware8
simulation8
motion-planning7
slam6
Programming languages (6)
Github contributions (5)
StanfordMSL/TrajBridge
Nov 2020 - Nov 2022
A ROS bridge for the Stanford Flightroom that takes in quadcopter trajectory data and outputs the corresponding setpoints in PX4.
Contributions:7 reviews, 245 commits, 59 PRs in 2 years
takesroboticsstanfordros2outputs
RoboticExplorationLab/msl_quad
Nov 2018 - Jan 2019
Research quadrotor platform (software & hardware) developed at Stanford Multi-Robot Systems Lab
Contributions:23 commits in 1 month
roboticsstanfordrobotmulti-robot-systemsmulti-robot
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