Analytical Linguist

Job Description

Qualifications Minimum qualifications: Masters degree in a human research - oriented field (e. g. , Linguistics, Cognitive Science, Social Science) or equivalent practical experience. Experience with XML/ HTML/ CSS/ JavaScript, Python (with test - driven development) , R, and SQL. Preferred qualifications: Experience designing and implementing data - based research experiments. Experience in crowdsourcing and survey design. Knowledge of advertiser and user needs. Creative thinker, detail oriented, with exceptional problem - solving and analytical skills. 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. Its our goal to use insights from linguistics and related fields to constantly improve our products. Users come first at Google. Nowhere is this more important than on our Advertising & Commerce team: we believe that ads and commercial information can be highly useful to our users if, and only if, that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We build and maintain the platforms that have made Google what it is today, and are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow. Responsibilities Work directly with engineers and statisticians to devise and run experiments to answer specific questions about advertising and product quality. Create interfaces and write instructions to collect labeled data from our rater workforce. Evaluate launch decisions, train models, and monitor quality metrics. Design and implement data and worker quality control methodology, experiments, and improvements. Conduct analysis and reports using Python, XML/ CSS, HTML/ JavaScript, database queries (e. g. , SQL) , R, and Google - internal technologies. Build ads products for markets by generating new types of labelled data and improve ads quality thru better keyword translation and transliteration. Location Bengaluru, Karnataka, IndiaAt 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. See also Googles EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form . To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.,

Keyskills :
ata acquisitiondatabase queriesnatural language processingquality controlnatural language understandingprogram management