Senior Robotics Scientist: Whole-Body Control & AI

Amazon

Massachusetts

On-site

USD 167,000 - 226,000

Full time

14 days+
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Benefits offered by this job

RSUs
Health insurance
401(k) matching
Paid time off
Parental leave
Flexible Spending Accounts

Job summary

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at scale. You will join a team pushing the boundaries of dexterous manipulation, locomotion, and human-robot interaction, applying deep learning and model-based control to real-world facilities.

You will design whole-body control methods, implement real-time controllers, and collaborate with interdisciplinary teams to co-design hardware and software for adaptive

Qualifications

  • 3+ years building ML models for business applications.
  • PhD or MS plus 6+ years of applied research.
  • Experience in Java, C++, Python.
  • Experience with neural deep learning methods and machine learning.
  • Experience with whole-body control methods such as hierarchical quadratic programming and model-predictive control.
  • Experience with imitation learning and reinforcement learning for whole-body control.
  • Experience with simulation environments such as IsaacLab, Mujoco, Drake, etc.
  • 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 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

Machine learning
Java
C++
Python
Deep learning
Whole-body control
QP (quadratic programming)
Model predictive control
Imitation learning
Reinforcement learning
Simulation
Real-time controllers
State estimation
Sensor fusion

Education

PhD or MS with 6+ years of applied research

Tools

IsaacLab
MuJoCo
Drake
ROS
MATLAB
scikit-learn
TensorFlow
MXNet
Spark
Hadoop

Job description

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at scale. You will join a team pushing the boundaries of dexterous manipulation, locomotion, and human-robot interaction, applying deep learning and model-based control to real-world facilities.

You will design whole-body control methods, implement real-time controllers, and collaborate with interdisciplinary teams to co-design hardware and software for adaptive

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