Senior Applied Scientist, Computer Vision and Robotics, Amazon Robotics
Core
Build computer vision and ML systems for robotic sensing hardware to enable perception in Amazon's global fulfillment network.
Role type
Senior Applied Scientist (Computer Vision & Robotics)
Builds
Next-generation cameras, depth sensors, and edge compute modules for autonomous mobile robots and manipulation workcells.
Domain
Robotics hardware, Computer Vision, Edge AI
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, TensorFlow), 2D/3D vision (object detection, segmentation, depth estimation), model optimization for edge (quantization, pruning, distillation), C++/Java/Python, hardware-software trade-off analysis
Preferred skills
Robotic perception in industrial/warehouse environments, multi-modal sensor fusion (RGB, depth, LiDAR), embedded inference pipelines, safety-critical ML applications, image signal processing, mentoring applied research teams
Technologies
PyTorch, TensorFlow, C++, Java, Python, LiDAR, RGB cameras, edge compute modules
Responsibilities
Co-define sensing and compute hardware requirements with principal engineers; Develop and optimize CV/Deep Learning models for edge deployment; Lead ML experimentation and validation to inform hardware architecture; Design benchmarking frameworks for sensing hardware performance; Optimize models for latency, power, and accuracy constraints; Collaborate cross-functionally to transition models from prototype to production fleet deployment.
Seniority
Senior, hands-on IC with mentorship responsibilities