Research Scientist, Alexa Automotive

Amazon.com - Santa Clara, CA3.6

Full-time
Job Description Do you like Alexa? Do you have a passion for cars? Do you love bleeding edge technology? Are you a Research scientist with technical aptitude? Alexa Automotive is looking for a research scientist to bring Alexa - the voice controlled personal assistant behind Amazon Echo – in automobiles. The team seeks to provide seamless experiences for customers in personal mobility with Alexa in the car.

As a Research Scientist, you will be responsible for the natural language understanding models for our customers in local search, navigation/traffic and public transit areas. Your work will directly impact our customers in the form of novel 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
  • 2+ years’ experience with various data analysis and visualization tools
  • Experience using Python, Perl, or another scripting language; command line usage
  • Experience diving into data to discover hidden patterns and conducting error analysis
  • Experience applying various machine learning techniques and understanding the key parameters that affect their performance
  • Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships
  • Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

Preferred Qualifications
  • The motivation to achieve results in a fast-paced environment
  • Experience with statistical modelling or machine learning
  • Excellent communication, strong organizational skills and very detailed oriented
  • Comfortable working in a fast paced, highly collaborative, dynamic work environment
  • Ability to think creatively and solve problems