Language Engineer

Job Description
Interested in Amazon Echo? Come work on it. We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. We’re working hard, having fun, and making history; come join us!

Amazon is looking for a Language Engineer to join our data engineering team in the area of speech and language data processing. We are seeking a candidate with strong experience in linguistic annotation, ontologies, taxonomies, semantic schemas. In this role, you will support new feature development by extending existing annotation schemas to cover new concepts.

Specifically, the Language Engineer will:
- Contribute to the design of new features by extending existing annotation schemas to cover new areas
- Collaborate with scientists and other Language Engineers in developing coherent and comprehensive meaning representation frameworks
- Lead annotation efforts to test and solidify new representations
- Provide day-to-day coordination of data collection efforts, including planning, scheduling, and reporting
- Measure and analyze accuracy and throughput of annotated data
- Handle competing requests from a range of data customers

Basic Qualifications
- Bachelor’s degree in a relevant field
- 2+ years experience in computational linguistics, language data processing, semantics, philosophy of language
- Experience with language annotation and other forms of data markup
- Experience with ontologies and other semantic meaning representation schemas
- Comfortable working with speech and text language data in multiple languages
- Experience in Perl, Python, or another scripting language
- Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
- 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
- Must be able to think creatively and possess strong analytical and problem solving skills

Preferred Qualifications
- Deep expertise in building ontologies, taxonomies, and semantic meaning representation frameworks
- Experience in writing grammars and building FSTs
- Experience with statistical language modeling
- Practical knowledge of version control and agile development
- Strong attention to detail
- Exceptional level of organization
- Fluency in a foreign language a plus

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