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Research Scientist

Research Scientist

Job ID 
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AMZN CAN Fulfillment Svcs, Inc
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Job Description

Do 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’s Natural Language Understanding (NLU) module, which provides additional context and information about the user’s 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 Data 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

Basic Qualifications

  • Master’s 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

Preferred Qualifications

  • 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

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