Applied Scientist, Navigation

Amazon is building advanced robotic systems that combine artificial intelligence, machine learning, control systems, and mechanical design for intelligent automation. The Applied Scientist will develop safe, scalable robot navigation and perception systems, lead research in learning-based planning and control, and translate research into production deployments while collaborating with robotics and engineering teams.

Responsibilities:

• 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
• Train ML models for deployment in simulation and real-world robots, identify and document their limitations post-deployment
• Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations
• Actively contribute to brainstorming sessions on adjacent topics, bringing fresh perspectives that help peers grow and succeed — and in doing so, build lasting trust across the team
• Mentor team members while maintaining significant hands-on contribution to technical solutions