Applied Scientist II, Vertical Search Relevance
Core
Design, develop, and deploy high-performance machine-learned ranking models for vertical product search to improve customer search experience.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Production ML models for Product Search
Domain
E-commerce, Search, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model building, algorithm design, numerical optimization, distributed computing, Java, C++, Python
Preferred skills
Large-scale distributed systems (Hadoop, Spark), advanced ML techniques, research and innovation
Technologies
Java, C++, Python, Hadoop, Spark
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
Senior, hands-on IC with mentorship responsibilities