International Project Engineer II, Office, 826233 Job
Microsoft - Redmond, WA

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Job Category: Software Engineering: Intl Proj Engineering & Loc
Location: Redmond, WA, US
Job ID: 826233-103564
Division: Microsoft Office Division

The User and Content Insights team (formerly, the Natural Language Group), part of the Office Division, is looking for a talented computational linguist to help design, build and evaluate the next generation of high quality intelligent productivity software in a significant number of language markets. UCI ships features in a wide range of products. We are passionate about leveraging state of the art techniques, including crowdsourcing, machine learning, and traditional Computational Linguistics techniques to deliver exciting natural language related technologies in the Office ecosystem to benefit millions of customers across the globe. If you share that passion, you are a great candidate for the UCI team!

This position offers a great opportunity to join a talented engineering team at the forefront of developing natural language technology for Microsoft products. We have expertise in shipping software with high linguistic quality for multiple languages in areas such as spellchecking, grammar checking, statistical language models and other data-driven approaches, e-mail prioritization, named entity recognition, and much more.

Required qualifications include:
Advanced degree in Computational Linguistics, Linguistics or related technical field.
Detail-oriented, results-driven individual with strong cross-group collaboration and strong communication skills.
Creative and innovative
Passion for quality
One year experience using an object-oriented programming language (C++ or C#) and scripting languages (Python, Java, or Perl)
One year experience in one of the following:
o Developing or managing a technical project in multiple languages
o Managing vendors working in multiple languages

The following qualifications are preferred:
Native proficiency in a language other than English.
Experience developing or evaluating commercial or high-quality research software.

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