Join Amazon's Frontier AI & Robotics team, where you'll collaborate with renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to revolutionize robotics through foundation models. As a Senior Machine Learning Engineer, you'll be crucial in transforming cutting-edge research into production-ready systems.
The role combines deep technical optimization work with strategic input on model architecture decisions. You'll work at the intersection of large language models and real-world robotics applications, using NVIDIA's acceleration stack and advanced compilation techniques to achieve unprecedented inference efficiency at Amazon scale.
Our team, led by pioneering researchers, is building the future of intelligent robotics through groundbreaking foundation models and end-to-end learned systems. We tackle complex challenges in AI and robotics, from sophisticated perception systems to adaptive manipulation strategies for real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies.
The position offers competitive compensation ranging from $151,300 to $261,500 per year, based on location and experience. Amazon provides comprehensive benefits including medical, dental, vision coverage, parental leave, and a 401(k) plan. Join us if you're passionate about pushing the boundaries of robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.