Applied Scientist II, Grocery, Retail & In-Store Experience (GRAISE)
Core
Design, develop, and deploy machine learning and computer vision models to solve real-world problems at scale in the Amazon grocery domain, directly improving the shopping experience for millions of customers.
Role type
Applied Scientist (Computer Vision & Machine Learning)
Builds
Production-ready ML and CV models for product identification, shelf perception, and in-store scene understanding
Domain
Grocery, Retail, In-Store Experience
Deliverable
production ML models
Required skills
Machine learning, Computer vision, Statistical analysis, Data mining, Experiment design, Python, Java, C++, Data pipeline development, Active learning, Model deployment, Performance profiling
Preferred skills
Deep learning, Human-robotic interaction, Data annotation strategies, Technical documentation, Cross-functional communication