(Senior) AI Engineer - Reinforcement Learning Manipulation, RIVR

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and - Master’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning.

- A minimum of five years of industry or research experience, with PhD experience applicable.

- Strong deep learning fundamentals, including supervised and self-supervised learning techniques, and reinforcement learning, including Markov Decision Processes (MDPs), neural network architectures, policy optimization algorithms, model-based vs.

model-free RL, exploration-exploitation strategies, value function methods, transfer learning, domain adaptation, sim-to-real transfer, etc. - Strong background in robotics including autonomy and/or manipulation. - Experience with deploying artificial neural networks on hardware platforms.

- Ability to write production-level code in modern C++. - Ability to prototype algorithms and train deep neural networks in Python. - Strong background in robotic manipulation, including dynamics, grasp synthesis, and trajectory optimization.