Applied Scientist

Job description

DESCRIPTION

A9.com, an Amazon company, creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, A9 Product Search services go to work. Our Amazon Search team processes billions of queries and products on Amazon sites worldwide. We work to maximize the quality and effectiveness of the search experience for visitors across all Amazon categories (Fashion, Digital Music, Amazon Instant Video, etc.). Our Query Understanding team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.

The Query Understanding Modeling team is responsible for developing and deploying state of the art machine learning and NLP models to extract semantic information on product search queries issued by millions of Amazon customers each day.

As a member of the Query Understanding Modeling team, you will:
-Define, design and implement key initiatives in the Query -Understanding area such as semantic parsing framework, query classification, query rewriting, unified knowledge base, null results recovery.
-Work closely with other applied scientists, engineers, engineering and product managers to understand the current state of the system and drive new enhancements to the system.
-Use statistical and machine learning techniques to create scalable text understanding systems
-Build a robust, scalable and an extensible platform which supports large scale data analyses, model development, training, validation and implementation
-Estimate engineering effort, identify dependencies, plan implementation, roll outs, provide updates and work with partner teams on initiatives

You will love this role because you will:
-Work on a world-class Query Understanding service that handles billions of requests per day and is an important component of Amazon Product S
-Learn state of the art in terms of AWS and NLP/ML technology and figure out creative ways to make these work at production scale.
-Gain exposure to the workings of the largest e-commerce search engine and an opportunity to work with a dynamic team to define and develop innovative solutions that will have a direct impact on Amazon product search.
-Work with large data sets to analyze and improve the search experience using various AWS technologies.
Have access to Amazon's vast technical resources to get the job done.

At A9, 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. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS or PhD) in Computer Sciences, Mathematics, ,Statistics or related field with specialization in machine learning or natural language processing.
·
· 2+ years of hands-on experience in predictive modeling and analysis, and in deploying machine learning / deep learning models
·
· 3+ years of hands-on experience in programming languages such as Java and Python