Applied Scientist, Vertical Search
Core
Building next-generation search infrastructure and machine-learned ranking models to optimize product search quality and effectiveness for Amazon's global marketplace.
Role type
Senior Applied Scientist (Search & Ranking)
Builds
Production machine learning models and ranking features for Amazon Product Search
Domain
E-commerce, Search, Machine Learning
Deliverable
production ML models
Required skills
Java, C++, Python, SQL, RDBMS, algorithm implementation, model training, offline evaluation, A/B testing, system design, low-latency optimization
Preferred skills
academic publications, self-developed code toolkits, hypothesis validation, cross-team leadership
Technologies
Java, C++, Python, SQL, Oracle, RDBMS, Data Warehouse
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 serving billions of search requests; Mentor team members and set high standards for project delivery
Seniority
Senior, hands-on IC with mentorship responsibilities