Sr. Applied Scientist , Mobile Manipulation Robotics (I/O)

Amazon Robotics is transforming warehouse automation through edge AI and machine learning applied to real-world robotics challenges. We're seeking a Senior Applied Scientist to advance our mobile manipulation capabilities by developing learning-based approaches that enable robots to navigate and manipulate objects in dynamic fulfillment environments.

Responsibilities:

• Design, develop, train, and deploy deep learning models for perception tasks (e.g., object detection, segmentation, pose estimation, tracking)
• Develop and maintain robust camera calibration pipelines (intrinsic, extrinsic, hand-eye calibration, multi-camera systems)
• Build perception systems for robotic manipulation including grasp detection, object pose estimation, and visual servoing
• Improve model performance through architecture optimization, data curation, and training strategies
• Build and maintain production-quality perception codebases with proper testing and documentation
• Profile and optimize models for real-time inference on embedded/edge platforms
• Collaborate with cross-functional teams (robotics, motion planning, controls) to integrate perception outputs for manipulation tasks
• Establish best practices for model versioning, experiment tracking, and MLOps
• Mentor junior engineers and contribute to technical roadmap planning