Applied Scientist II, Grocery, Retail & In-Store Experience (GRAISE)
Core
Design, develop, and deploy machine learning and computer vision models to solve complex grocery-domain problems like product identification, shelf perception, and in-store scene understanding.
Role type
Applied Scientist (Computer Vision & ML)
Builds
Production-ready ML models for Amazon grocery stores
Domain
Grocery, Retail, Computer Vision, Multimodal Learning
Deliverable
production ML models
Required skills
Computer vision, machine learning, data analysis, model deployment, data pipeline construction, active learning, technical documentation
Preferred skills
Computer vision model deployment, latency optimization, handling noisy/sparse data, annotation pipeline development, cross-functional communication
Technologies
Java, C++, Python
Responsibilities
Design and evaluate CV/ML models for grocery tasks; conduct exploratory data analysis; own model lifecycle from experiment to deployment; build data pipelines and annotation workflows; communicate technical results to stakeholders; stay current with SOTA research.
Seniority
Mid-Senior, hands-on IC