Applied Scientist II, Search Ranking

Amazon Science · Palo Alto, CA · Yesterday

AnalystFull-time

About the role

The Search Relevance team focuses on several technical areas for improving search quality. This includes inventing universally applicable signals and algorithms for training machine-learned ranking models, predicting the popularity of new products, developing new ranking features and algorithms that capture unique characteristics, and analyzing the differences in behavior of different categories of customers.

Responsibilities

Invent universally applicable signals and algorithms for training machine-learned ranking models.
Work on problems such as predicting the popularity of new products, developing new ranking features and algorithms that capture unique characteristics, and analyzing the differences in behavior of different categories of customers.
Span the whole development pipeline, including data analysis, prototyping, A/B testing, and creating production-level components.

Requirements

Basic Qualifications:

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
Experience programming in Java, C++, Python or related language.
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

PREFERRED QUALIFICATIONS:

Experience using Unix/Linux.
Experience in professional software development.

Qualifications

Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world’s leading Internet companies.

Benefits