Summary
Date Posted: Thursday, June 30, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
About The Job
Analytical Linguists work across Google to drive improvements in quality, classification, information structure, and natural language understanding and generation. As an Analytical Linguist you will work both on complex projects spanning multiple products, groups, and disciplines, and on tightly focused efforts to produce specific product components or answer specific research questions. Analytical Linguists work in many different areas and arrive with a wide variety of skills—your specialization might involve natural language processing and understanding, phonology, phonetics, syntax, semantics, ontology, program management, human subject research, experimental design, statistics, corpus linguistics, large scale data acquisition, or any combination. This team is part of some of the most groundbreaking and exciting work at Google. It's our goal to use insights from linguistics and related fields to constantly improve our products.

Responsibilities
• Write and maintain machine-readable grammars to inject linguistic knowledge (e.g. around numeral systems).
• Provide linguistic requirements for data collection/annotation projects to improve coverage and quality of the data going into our automatic speech recognition (ASR) systems.
• Synthesize linguistic research from many fields (e.g., phonology, sociolinguistics, etc.) into easily digestible, actionable recommendations for improving our ASR systems for everyone.

Minimum qualifications:
• Master's degree focused in Natural Language Processing or Analytical Linguistics or equivalent practical experience.
• Experience working with linguists and engineering colleagues to improve tools and processes.

Preferred qualifications:
• Experience with Natural Language Processing in language understanding, recommendation systems, information retrieval, and ranking systems.
• Experience with Python, R or other scripting languages.
• Experience with automatic speech recognition (ASR).
• Experience with natural language processing or text-to-speech systems.
• Ability to speak and write in African languages fluently.


Job Experience: No Requirements

Work Hours: 8

Level of Education: Associate Degree

Job application procedure
Method of Application
• Click here to apply

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