Job Description

DESCRIPTION
The Amazon Search team creates 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, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.
Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking applied scientists to join the newly formed Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models.
BASIC QUALIFICATIONS
- 3+ years of building models for business application 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
- Master's degree or above in computer science, machine learning, engineering, or related fields
- PhD in computer science, computer engineering, or related field
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- fundamentals on a broad set of ML approaches and techniques
- fundamentals in problem solving and algorithm design.
- interest in learning, researching, and creating new technologies with commercial impact
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