Offers “Amazon”

Expires soon Amazon

Applied Scientist II

  • San Francisco (City and County of San Francisco)
  • IT development

Job description

DESCRIPTION

The Amazon Search team 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. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.

The Search Relevance team focuses on several engineering areas for improving search quality and effectiveness for video intent queries. In this role you will invent universally applicable signals and algorithms for training machine-learned ranking models. You will develop and improve the next generation of our machine-learning framework for training and offline evaluation of relevance models. The relevancy improvements you make will help millions of customers discover the best content in our catalog of hundreds of thousands of media content worldwide. You will 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. The work will span the whole development pipeline, including data analysis, prototyping, A/B testing, and creating production-level components.

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

Desired profile

BASIC QUALIFICATIONS

· Masters degree in Computer Science, Engineering, Mathematics or related discipline.
· At least 2 years of experience with machine learning systems.
· At least 2 years of experience building web based production software.
· Hands on development experience in C++, Java, and Python

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