Applied Scientist II, Search Relevance International
Core
Design, develop, and deploy high-performance distributed search systems and machine-learned ranking models to maximize search quality for Amazon customers worldwide.
Role type
Applied Scientist II, Search Relevance
Builds
Production machine-learned ranking models for Product Search
Domain
E-commerce, Search, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model building, algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Build machine learning models for Product Search; Develop new ranking features and techniques; Propose and validate hypotheses to direct business and product road map; Design, develop, and implement production level code; Collaborate with engineers to solve complex design problems; Mentor team members and set high standards for the team.
Seniority
Mid-Senior, hands-on IC
