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.

Amazon is looking for a German 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 across multiple languages




Basic Qualifications
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
Native-level fluency in German
Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.), and Unix
Experience programming in Perl, Python, or another scripting language
Preferred Qualifications
Expertise in building ontologies, taxonomies, and semantic relation frameworks
Expertise in German linguistics or NLP
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

Educational level:

Bachelor’s Degree

Level of experience (years):

Mid Career (2+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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