Job DescriptionDo you want to work on Alexa, the brains behind user-delighting spoken-language products that Amazon is building, like the Amazon Echo, Amazon Dash, and Fire TV? The Entity Resolution (ER) team works on one of the core server-side components for Alexa\u2019s Natural Language Understanding (NLU) module, which provides additional context and information about the user\u2019s question to Alexa. Fundamentally, ER is a search problem, and we use a variety of techniques to try to optimize this search process to be as fast and accurate as possible for spoken language. We are still a long way away from perfecting it, and are looking for passionate, talented, and inventive Research Scientists that are interested in building something that will make a difference in millions of users' daily lives. Successful scientists and developers on our team come from a variety of backgrounds but all share an obsession with quality, an interest in scalable system design, and an urge to dive deep into complex R&D problems. As a Research Scientist in our team, you will be responsible for data-driven improvements to our NLU and ER models. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will:
Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
Clean, analyze and select data to achieve goals
Build and release models that elevate the customer experience and track impact over time
Collaborate with colleagues from science, engineering and business backgrounds.
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
Master\u2019s or PhD in a relevant field
5 years experience with various data analysis and visualization tools
Experience in Perl, Python, or another scripting language; command line usage
Experience with various machine learning techniques and parameters that affect their performance
Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
The motivation to achieve results in a fast-paced environment
Experience with statistical modelling / machine learning
Strong attention to detail
Exceptional level of organization
Comfortable working in a fast paced, highly collaborative, dynamic work environment
Ability to think creatively and solve problems
Fluency in a foreign language
Amazon is an Equal Opportunity-Affirmative Action Employer \u2013 Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation
Website : http://www.amazon.com/
Amazon, a Fortune 500 company based in Seattle, Washington, is the global leader in e-commerce. Since Jeff Bezos started Amazon in 1995, we have significantly expanded our product offerings, international sites, and worldwide network of fulfillment and customer service centers. Today, Amazon offers everything from books and electronics to tennis rackets and diamond jewelry. We operate sites in Canada, China, France, Germany, Italy, Japan, Spain and United Kingdom and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.