Amazon.com Language Engineer in Cambridge, Massachusetts

Amazon is building speech and language services that power voice search on Fire TV. We’re working hard, having fun, and making history; come join us!

Amazon is looking for a Japanese Language Engineer to join our data engineering team in the area of speech and language data processing. We are seeking a candidate with strong analytical skills and language technology experience to help us measure, analyze and solve complex problems. In this role, you will support a range of data collection efforts, monitor accuracy and throughput standards, and be a key member in new feature development.

Specifically, the Language Engineer will:

  • Provide day-to-day coordination of Japanese data collection efforts, including planning, scheduling, and reporting

  • Measure and analyze accuracy and throughput of annotated data

  • Contribute to the design of new features by extending existing annotation schemas to cover new areas

  • Write grammars and build FSTs

  • Use modeling tools to bootstrap new functionalities

  • Handle competing requests from a range of data customers

  • Collaborate with other Language Engineers in data collection and feature design efforts

  • Native speaker of Japanese

  • Bachelor’s degree in a relevant field

  • 2+ years experience in computational linguistics, language data processing, statistics, or data analysis

  • Experience with annotation and other forms of data markup

  • Experience in Japanese Natural Language Processing

  • Experience programming in Perl, Python, Java and/or C/C++

  • Experience working with speech and text language data in multiple languages

  • Experience with database queries and data analysis processes (SQL, R, Matlab, etc.)

  • Experience in writing grammars and building FSTs

  • Experience in statistical language modeling

  • Practical knowledge of version control and agile development

  • Strong attention to detail

  • Exceptional level of organization

  • Fluency in another foreign language a plus

  • Comfortable working in a fast paced, highly collaborative, dynamic work environment

  • Willingness to support several projects at one time, and to accept reprioritization as necessary

  • Must be able to think creatively and possess strong analytical and problem solving skills

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

AMZR Req ID: 566071

External Company URL: www.amazon.com