At Amazon, we leverage the power of machine learning, artificial intelligence, and advanced robotics to solve some of the most complex operational challenges at a scale unlike anywhere else in the world. As a Sr. Scientist in Robot Navigation, you will be at the forefront of this transformation — architecting and delivering navigation systems that are intelligent, safe, and scalable. You will bring deep expertise in learning-based planning and control, a strong understanding of foundation models and their application to embodied agents, and as well as have in-depth understanding of control-theoretic approaches such as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees.

Design, develop, and deploy perception algorithms for robotics systems, including object detection, segmentation, tracking, depth estimation, and scene understanding

Lead research initiatives in computer vision, sensor fusion and 3D perception

Collaborate with cross-functional teams including robotics engineers, software engineers, and product managers to define and deliver perception capabilities

Drive end-to-end ownership of ML models — from data collection and labeling strategy to training, evaluation, and deployment

Mentor junior scientists and engineers; contribute to a culture of technical excellence

Define and track key metrics to measure perception system performance in real-world environments

Publish research findings in top-tier venues (CVPR, ICCV, ECCV, ICRA, NeurIPS, etc.) and contribute to patents