Interested in Amazon Alexa? Come work on it. We’re building the speech and language solutions behind Amazon Alexa 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 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 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
- Bachelor’s or higher degree in a relevant field - 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 - Fluency in a major European language, such as German - Experience with database queries and data analysis processes (SQL, R, Matlab, etc.), and Unix - Experience programming in Perl, 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