Senior Applied Scientist, 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
Senior Applied Scientist (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 design, ranking algorithms, hypothesis validation, low-latency system design, A/B testing, production code development, technical leadership, mentorship
Preferred skills
Academic research experience, scalable system design, cross-functional collaboration
Technologies
Distributed search systems, machine learning frameworks, A/B testing platforms
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.
