Language Engineer

Job ID: 782875 | Amazon.com Services, Inc.

DESCRIPTION

Amazon is looking for a Language Engineer to join our Natural Language Processing (NLP) team. We are seeking a candidate with strong analytical skills and language technology experience to help us develop language components for a variety of Kindle products.

As a Language Engineer at Amazon, you will:
- Develop NLP components: write rules, build grammars/FSTs, create annotation systems or mappings for the target language
- Contribute to the design of new features by extending existing annotation schemas to cover new areas in the target language
- Use modeling tools to bootstrap and test new functionalities
- Analyze system performance and identify areas for improvement
- Collaborate with other Language Engineers and Data Linguists teams in data collection and development efforts

BASIC QUALIFICATIONS

- Bachelor’s or higher degree in a relevant field (linguistics or language)
- 2+ years experience in computational linguistics, language data processing, semantics, or syntax
- Experience with language annotation and other forms of data markup
- Experience working with speech and text language data in multiple languages
- Near-native fluency in one major non-English Language

PREFERRED QUALIFICATIONS

- Experience with database queries and data analysis processes (SQL, R, Matlab, etc.), and Unix
- Experience programming in Python, or another scripting language
- Expertise in building ontologies, taxonomies, and semantic relation frameworks
- Experience in writing grammars and building FSTs
- Experience with statistical language modeling
- Practical knowledge of version control and agile development
- Excellent communication, strong organizational skills and very detailed oriented
- 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


Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation