Amazon

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SDE II, ML

SDE II, ML

Job ID 
562709
Location 
US-CA-Palo Alto
Posted Date 
11/13/2017

Job Description

We here at AWS are building the speech and language solutions behind several 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
- 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


Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation

Basic Qualifications

- Bachelor’s or higher degree in a relevant field
- 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 an additional language other than English
- Experience programming in Python, Perl, UNIX shell scripting or another scripting language

Preferred Qualifications

- 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