- Master’s or higher degree in a relevant field (linguistics or computational linguistics)
- 2+ years experience in computational linguistics or language data processing
- Experience with language annotation and other forms of data markup
- Experience working with speech and text language data in multiple languages
- Experience programming in Python, Perl, or another scripting language
- Native or near-native fluency in a non-English language
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 Amazon products.
As a Language Engineer at Amazon, you will:
- Create sample language data for the target languages
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- Develop NLP components: write rules, build grammars/FSTs, create annotation systems or mappings for the target language
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- Contribute to the design of new features by extending existing annotation schemas to cover new areas in the target language
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- Use modeling tools to bootstrap and test new functionalities
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- Analyze system performance and identify areas for improvement
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- Collaborate with other Language Engineers and Data Associate teams in data collection and development efforts
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
- Experience with database queries and data analysis processes (SQL, R, Matlab, etc.), and Unix
- 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
- Native or near-native fluency in Arabic or Turkish
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