Overview

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.

Understanding natural language is at the core of Google’s technologies. The Natural Language Understanding (NLU) team in Google Research guides, builds, and innovates methodologies around semantic analysis and representation, syntactic parsing and realization, morphology and lexicon development. Current research focuses on discourse and dialogue systems. Our work directly impacts the Assistant, Conversational Search in Google Now, the Knowledge Graph, and Google Translate, as well as other Machine Intelligence research.

As a Computational Linguist, you will collaborate with Researchers and Engineers in NLU/Machine Intelligence to produce analyses, high quality data and develop grammars that improve our ability to understand and generate natural language. Many linguists focus on one or more languages in which they have special expertise, and propose directions and solutions to language-specific problems.

There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We’re constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We’re providing users around the world with great search results every day, but at Google, great just isn’t good enough. We’re just getting started.

Responsibilities
Develop various grammars for different languages and NLP task-oriented applications and/or define and implement higher level grammar architecture.
Work closely with Researchers and Engineers by providing linguistic expertise and direction for language specific NLP and/or dialogue analysis/modeling.
Train and/or evaluate NLP or dialogue systems, identify errors/regressions and propose solutions.
Propose and run research experiments around linguistic phenomena.
Monitor data acquisition and curation; design quality control methodology, experiments, implementation and improvements.

At Google, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Company:

Google

Qualifications:

Minimum Qualifications
PhD degree in Linguistics or Computational Linguistics, or equivalent practical experience.
Experience in C++ or in other programming languages, in addition experience with scripting languages working in a Linux environment.
Experience developing projects or curricula from concept to completion and collaborating internationally with multiple partners on multi-quarter projects. Experience in developing context-free grammars for NLU applications.
Ability to speak and write in English fluently and idiomatically.

Preferred Qualifications
2 years of experience in NLP research or related fields, with knowledge of semantics, syntax, morphology, phonetics, phonology and/or discourse.
Background in statistics and data analysis, and familiarity with software packages for statistical analysis. In addition, familiarity with experimental design, research methodologies, qualitative and quantitative analysis
Independent worker with the ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. Team player with exceptional interpersonal and solution-oriented attitude.
Effective analytical, problem-solving and critical-thinking skills.
Ability to travel internationally as required.
Multilingual speaker.

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying

https://careers.google.com/jobs/results/6421107475021824-computational-linguist-natural-language-understanding-nlu-in-machine-intelligence-indicdravidian/?src=Online%2FLinkedIn%2Flinkedin_us&utm_source=linkedin&utm_medium=jobposting&utm_campaign=contract

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About Google

Google’s mission is to organize the world‘s information and make it universally accessible and useful.

Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.