Applied Scientist Ii, Search Relevance International
Amazon
Ka, IN, United States
On-site
Machine learning models
Ranking models
Production level code
Amazon is seeking an Applied Scientist II for its Search Relevance team, focusing on enhancing the search experience for customers globally through innovative machine learning models and solutions. The role emphasizes collaboration, ownership, and a customer-centric approach to problem-solving
Job Summary
The Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.
Key job responsibilities include building machine learning models for Product Search, developing new ranking features, and proposing/validating hypotheses.
You will design, develop, and implement production level code that serves billions of search requests, owning the full development cycle from design to deployment.
Matching Summary
Match Score: 85
Amazon is seeking an Applied Scientist II for its Search Relevance team, focusing on enhancing the search experience for customers globally through innovative machine learning models and solutions. The role emphasizes collaboration, ownership, and a customer-centric approach to problem-solving.