Understanding natural language is at the core of Google’s technologies. Teams within Natural Language Understanding (NLU) in Google Research guide, build and innovate methodologies around discourse and pragmatics, semantic analysis and representation, syntactic parsing and realization, morphology and lexicon development, speech recognition and synthesis. Current research focuses on information structure, dialogue systems, evaluation, data manipulation and analysis.
A Computational Linguist has both knowledge of the linguistic phenomena and of the technology to model them. As a Computational Linguist Intern, you will collaborate with researchers and engineers in NLU/Machine Intelligence to produce linguistic models, analyses, high quality data and develop applications that improve our ability to understand and generate natural language.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology’s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Provide linguistic expertise and direction for language specific NLP, Automatic Speech Recognition (ASR) or Text to Speech (TTS) projects and/or dialogue analysis/modeling.
Train and/or evaluate NLP or ASR/TTS/dialogue systems and propose solutions.
Propose and run research experiments around linguistic phenomena.
Monitor data acquisition and curation.
Design quality control methodology, experiments, implementation and improvements.
Pursuing a Masters or PhD in Linguistics, Computational Linguistics, or a related field or equivalent practical experience.
Experience with scripting languages working in a Linux environment.
Experience with Python, C++, or other programming languages.
Ability to speak and write in English fluently and idiomatically.
Experience in NLP research or related fields, e.g. NLU, NLG, ASR/TTS and/or experience with dialogue systems.
Experience in semantics, syntax, morphology, phonetics, phonology, pragmatics, discourse, lexicography and/or corpus linguistics; experience developing error analysis, evaluation strategies and developing projects from concept to completion.
Familiarity with Machine Learning tools, models for Natural Language Processing applications, experimental design, research methodologies, qualitative and quantitative analysis.
Strong analytical, problem-solving, communication, and critical-thinking skills.
Independent worker with interpersonal and solution-oriented attitude; able to effectively operate with flexibility in a fast paced, constantly evolving team environment.
Fluency in multiple languages.
How to apply:
Please mention NLP People as a source when applying
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.