Robotics AI Scientist: Whole-Body Control & RL

Amazon; Massachusetts; On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Sign-on payments & RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is hiring a robotics researcher to develop the next generation of autonomous manipulation and locomotion systems. The role involves advancing whole-body control, integrating deep learning with model-based control, and delivering safe, robust robot behavior in complex environments across Amazon facilities.

The ideal candidate holds a PhD or Master’s with 2+ years in CS/CE/ML, and has hands-on experience with RL, imitation learning, and real-time control software.

Qualifications

• PhD or Master’s degree with 2+ years of CS, CE, ML or related field experience.
• Experience with imitation learning and reinforcement learning for whole-body control.
• Experience with hierarchical quadratic programming and model-predictive control.
• Experience with simulation environments such as IsaacLab, MuJoCo, Drake.
• Experience with developing and deploying code for real-time controllers.
• Experience in state estimation from multiple sensor modalities.

Responsibilities

• Design and implement whole body control methods for balance, locomotion, and dexterous manipulation
• Utilize state-of-the-art methods in learned and model-based control
• Create robust and safe behaviors for different terrains and tasks
• Implement real-time controllers with stability guarantees
• Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation
• Mentor junior engineer and scientists

Skills

Imitation learning

Reinforcement learning

Whole-body control

State estimation

Sensor fusion

Realtime controllers

Education

PhD in Robotics

Master's in CS/CE/ML

Tools

IsaacLab

MuJoCo

Drake

ROS

MATLAB

Job description

Amazon.com Services LLC is hiring a robotics researcher to develop the next generation of autonomous manipulation and locomotion systems. The role involves advancing whole-body control, integrating deep learning with model-based control, and delivering safe, robust robot behavior in complex environments across Amazon facilities.

The ideal candidate holds a PhD or Master’s with 2+ years in CS/CE/ML, and has hands-on experience with RL, imitation learning, and real-time control software.