Applied Scientist II, Search Ranking

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. 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 technical areas for improving search quality. In this role, you will invent universally applicable signals and algorithms for training machine-learned ranking models. The relevance improvements you make will help millions of customers discover the products they want from a catalog containing millions of products. 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    (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.

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Key job responsibilities

Your responsibilities include but not limited to:

* Analyze the data and metrics resulting from traffic into Amazon's product search service.

* Design, build, and deploy effective and innovative ML solutions to improve search ranking.

* 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 with Machine and Deep Learning toolkits such as MXNet, Tensor Flow, Caffe and Py Torch

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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