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. You will work with researchers and ontologists locally and around the world to increase the scope of Google's semantic representations through both human and automatic methods. You will use a variety of semantic modeling techniques, judging tradeoffs between formality and usability and deciding when to borrow from an existing ontology and when to develop new structures. As a Linguist/Ontologist on the Schema team, you will analyze graph structures and content, develop new semantic representations, and work with providers and consumers of data to guide the development and usage of knowledge structures to improve entity accessibility and enable automated reasoning. Growing the Knowledge Graph requires the development of knowledge models describing how entities relate to one another. It's our goal to use insights from linguistics and related fields to constantly improve our products. This team is part of some of the most groundbreaking and exciting work at Google. 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. 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 across Google to drive improvements in quality, classification, information structure, and natural language understanding and generation.
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