Job DescriptionAlexa is the groundbreaking, cloud-based intelligent agent that powers Echo and other devices designed around your voice. The Alexa Music team is building the science and technology behind Alexa. Come join us! Our goal is to delight our customers by adding new music features to Alexa and by improving the accuracy of our existing speech recognition and natural language processing systems for music related use cases.As a Research Scientist, you will be responsible for the natural language understanding models for our featured music domain. 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
Bachelor\u2019s or Master\u2019s degree in a relevant field
2 years\u2019 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.
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
Fluency in a language other than English
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.