Applied Scientist II, Core Search

Description

The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.

Key job responsibilities

• Analyze the data and metrics resulting from traffic into Amazon's product search service.
• Design, build, and deploy effective and innovative ML and LLM solutions to improve search experiences.
• Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
• Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.

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
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience building machine learning models or developing algorithms for business application