Research engineer supporting robotic hardware and data-collection setups, designing mechatronic systems, and building robotic simulation environments for reinforcement-learning training. Works with Python, PyTorch, computer vision, robotics systems, and human-data processing, and publishes research for top-tier conferences.
You will support robotic hardware and data-collection setup, design mechatronic systems, build robotic simulations for reinforcement-learning training, process human data, publish research, and collaborate on deployed autonomy and simulation systems.
Responsibilities
Support robotic hardware and data-collection setup
Design mechatronic systems for customized requirements
Construct robotic simulation environments for reinforcement-learning training
Process human data for robotic use cases
Work on research publications for top-tier conferences
Collaborate with engineering teams to deploy autonomy algorithms and simulation tools
Requirements
Hands-on experience with humanoid or general robotics, human-data-collection hardware, robotic simulation, deformable-object simulation, human-data processing, retargeting, pose estimation, or SLAM
Experience with Python, PyTorch, computer vision, robotics systems, and distributed machine-learning model training
Master's or PhD in machine learning, computer vision, autonomy, robotics, or a closely related field
At least 1 year of experience in autonomy and robotics applications or a closely related field
Benefits
Equity in the form of options and/or restricted stock units
Health, dental, vision, life, and disability insurance