Applied Scientist II, Grocery, Retail & In-Store Experience (GRAISE)

About the role

The GRAISE team (Grocery, Retail & In-Store Experience) within World Wide Grocery Store Tech (WWGST) builds foundational AI and machine learning systems that power Amazon's in-store grocery technologies. We develop domain-specific models that solve uniquely complex challenges in grocery — from smart shopping carts and inventory intelligence to personalization and store operations.

What you'll do

• As an Applied Scientist on the GRAISE team, you'll spend your days analyzing model performance from overnight experiments
• Present findings to product and business stakeholders, translating technical results into actionable recommendations
• Work closely with engineering, product, and business teams to turn complex technical challenges into production-ready solutions
• Bring scientific rigor to every stage — from data analysis and model design to evaluation and iteration
• Design, train, and evaluate computer vision and machine learning models for complex grocery-domain problems including product identification, shelf perception

What you need

• 2–5 yrs of experience
• Machine learning
• Python
• Statistics
• Computer vision
• C++
• Java
• Any graduate

Good to have

• Deep learning
• Prototyping
• ETL