Join Amazon's Frontier AI & Robotics team, a cutting-edge division led by renowned AI pioneers Pieter Abbeel, Rocky Duan, and Peter Chen. As a Senior Machine Learning Engineer, you'll be at the forefront of transforming revolutionary research into production-scale systems. The role combines deep technical optimization work with strategic input on model architecture decisions, focusing on making innovative robotics models perform efficiently at Amazon's massive scale.
The team is reimagining robotics from the ground up, developing breakthrough foundation models and end-to-end learned systems. You'll work with Amazon's extensive computational infrastructure and real-world datasets to train and deploy state-of-the-art foundation models. The position involves sophisticated work with transformer architectures, CUDA optimization, and TensorRT implementation.
Your work will directly impact the future of intelligent robotics, spanning from multimodal perception using various data types to advanced manipulation strategies for real-world scenarios. The role offers a unique opportunity to work with world-class researchers while seeing your innovations deployed at unprecedented scale. You'll be instrumental in optimizing large-scale transformer architectures for robotics applications, ensuring high performance and reliability.
The position offers competitive compensation ranging from $151,300 to $261,500 per year, based on location and experience, plus additional benefits and potential equity. You'll be part of a team that values innovation, technical excellence, and practical impact, working on problems that bridge the gap between cutting-edge research and real-world applications.