(USA-CA-San Francisco) Linguist/Ontologist, Google Knowledge Graph Google
San Francisco, CA

Job Description

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.

Growing the Knowledge Graph requires the development of knowledge models describing how entities relate to one another. 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. 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. 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.

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.