About the job
Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
Responsibilities
- Design and implement whole body control methods for balance, locomotion, and dexterous manipulation
- Utilize state-of-the-art in 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
Qualifications
Minimum
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with methods for whole-body control 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
Preferred
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- PhD in Robotics, with a focus on whole-body control
- Experience with low-level joint torque/impedance control
- Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)