Imitation Learning Engineer, 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.

- 5 years of industry or research experience, with PhD experience applicable.

- Strong deep learning fundamentals including supervised learning, self-supervised learning, neural network architectures, policy optimization algorithms, imitation learning, and generative AI techniques, including Diffusion Models such as DALL-E 2 and Stable Diffusion, as well as Diffusion Policy.

- Background in robotics including autonomy and 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.