- Master's Degree
- Doctoral Degree
- Natural Language Processing
- Qualitative Analysis
- Quantitative Analysis
- Experimental Design
- Curriculum Development
MS degree in Linguistics or Computational Linguistics, or equivalent practical experience.
Experience in coding with Python and/or C++.
Experience with software engineering.
Experience working on developing projects or curricula through collaboration.
PhD in Linguistics or Computational Linguistics, or equivalent practical experience.
2 years of experience in Natural Language Processing (NLP) research or related fields, with knowledge of semantics, syntax, morphology and/or discourse.
Familiarity with experimental design, research methodologies, qualitative and quantitative analysis.
Demonstrated analytical skills and excellent written and verbal communication skills in a technical context.
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.
About the job
Understanding natural language is at the core of Google's technologies. The Natural Language Understanding (NLU) team at Google guides, builds, and innovates methodologies around semantic analysis and representation, syntactic parsing and realization, morphology and lexicon development. Our work directly impacts the Assistant, Search, the Knowledge Graph, and Google Translate, as well as other Machine Intelligence research.
As a Computational Linguist, you will collaborate with Engineers and Researchers in Assistant and Research & Machine Intelligence to develop language understanding models 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.
Google aims to build products that organize the world's information and make it universally accessible to our users. As a Product Manager at Google, you could be working on new technologies, platforms, consumer facing products, and/or enterprise systems. The end goal will be to match you with the team that best aligns with your interests, experience, and where you will have the most impact.
Monitor data acquisition (collection and linguistic annotations) and curation; design quality control methodology, experiments, implementation and improvements.
Develop grammars for different languages and Natural Language Processing (NLP) task-oriented applications and/or define and implement higher level grammar architecture.
Work closely with engineers and researchers 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.
Extend or design conceptual frameworks and semantic representations to support richer models of language use (e.g. incorporating frame semantics, the syntax/semantics interface, discourse and pragmatics, etc).
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. See also Google's 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.