Advanced degree in a human research-oriented field (e.g., Linguistics, Cognitive Science, Social Science).
Experience designing and implementing data-based research experiments.
Knowledgeable in policy issues affecting kids online (e.g., online safety, parental supervision, right to participation, etc).
Ability to operate in a high-paced, changing work environment.
Ability to prioritize multiple functions and tasks, manage time efficiently, and navigate ambiguity.
About the job
Behind Google’s Knowledge Engine (KE) team is the world’s largest and most comprehensive semantic graph. We power features across Google, including Ads, YouTube, Google Play, Geo, and many others. Growing Knowledge Graph requires precise models describing how entities fit together. As an Analytical Linguist on the Knowledge Engine 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. Using a variety of semantic modeling techniques, you’ll work to improve entity accessibility. You will be responsible for judging tradeoffs between formality and usability and deciding when to borrow from an existing ontology and when to develop new structures.
We are a group of quantitative analysts and analytical linguists who work closely with Engineering teams throughout Google Ads and our Kids and Families workstreams to gather crowdsourced data from our internal platform. This data is used to evaluate, launch decisions, train models, and monitor quality metrics, ultimately improving the end-user’s experience throughout Google’s ad ecosystem. Your mission will be to work closely with Kids Ads Policy Stakeholders, Machine Learning Engineers, and Product Managers to ensure that kids have safe experiences.
(Colorado only*) Minimum salary range between $109,000 – $117,000 + bonus + equity + benefits.
Work directly with engineers and statisticians to devise and improve experimental methodologies to answer specific questions about advertising and product quality.
Innovate on best practices for collecting and using annotated data in machine learning pipelines.
Design and implement data and worker quality control methodology, experiments, and improvements.
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 our Accommodations for Applicants form.