Senior Applied Scientist, Scalable Search Ranking

Amazon; Reading (MA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon's Search team delivers ML-powered ranking models that connect customers with products worldwide. As an Applied Scientist on the Search Ranking team, you will develop ranking models for billions of queries and hundreds of millions of customers, focusing on efficient early-stage ranking and scalable exploration techniques.

You will analyze data from A/B tests, collaborate with business and tech teams, and push the boundaries of ML at Amazon scale.

Qualifications

• PhD or master's degree with 4+ years in CS/ML.
• Strong programming experience in Java, C++, Python.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Build search ranking models for thousands of product types and billions of queries.
• Analyze data from recent A/B tests and collaborate with cross-functional teams.
• Develop ML models that scale for Amazon's global search platform.
• Contribute to scalable ML infrastructure and efficient early stage ranking techniques.

Skills

Java

C++

Python

Algorithms

Data structures

Education

PhD or Masters with 4+ years in CS/ML

Tools

Unix/Linux

Job description

Amazon's Search team delivers ML-powered ranking models that connect customers with products worldwide. As an Applied Scientist on the Search Ranking team, you will develop ranking models for billions of queries and hundreds of millions of customers, focusing on efficient early-stage ranking and scalable exploration techniques.

You will analyze data from A/B tests, collaborate with business and tech teams, and push the boundaries of ML at Amazon scale.