Description
Amazon is on a mission to redefine the future of automation , and we're looking for exceptional talent to help lead the way.
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.
Key job 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 and contribute to patents
A day in the life:
- 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
About the team: Our team is a diverse group of scientists and engineers passionate about building intelligent machines. We value curiosity, rigor, and a bias for action.