About The Position

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.

Requirements

  • PhD, or Master's degree and 4+ years of quantitative field research experience
  • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
  • Experience analyzing both experimental and observational data sets

Nice To Haves

  • Knowledge of R, MATLAB, Python or similar scripting language
  • Experience with agile development
  • Experience building web based dashboards using common frameworks
  • 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
  • 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

Responsibilities

  • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
  • Clean, analyze and select speech/language/other data to achieve goals
  • Build and test models that elevate the customer experience
  • 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
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