Applied Scientist, Search Ranking & Personalization

Amazon; Omaha (NE); On-site; USD 172,000 - 222,000; Full time

Job summary

Amazon's Search team is seeking an Applied Scientist to build ranking models that scale to thousands of product types and billions of queries, impacting hundreds of millions of customers worldwide. You will leverage large datasets to understand customer behavior and develop ML models, collaborating closely with software engineers to deploy innovations at scale.

The role emphasizes efficient early-stage ranking, personalization, and automated optimization.

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

Responsibilities

• Build search ranking models for thousands of product types, billions of queries, and hundreds of millions of customers.
• Leverage large datasets to understand customer behavior and build ML models that work at scale.
• Collaborate with SDEs to bring ideas to production.

Skills

Java

C++

Python

Algorithms & data structures

Data mining

Numerical optimization

Parallel computing

Distributed computing

Unix/Linux

Software development

Education

PhD

Master's degree

Job description

Amazon's Search team is seeking an Applied Scientist to build ranking models that scale to thousands of product types and billions of queries, impacting hundreds of millions of customers worldwide. You will leverage large datasets to understand customer behavior and develop ML models, collaborating closely with software engineers to deploy innovations at scale.

The role emphasizes efficient early-stage ranking, personalization, and automated optimization.