Google Hiring for Linguist, Human Evaluation and Signals, Ads at Los Angeles, CA Full Time
Minimum qualifications:
- Experience in machine learning, ontology design, and/or crowdsourcing of data.
- Experience collaborating effectively with linguist and engineering colleagues to improve tools and processes.
- Experience collaborating with with product managers on development and commercialization strategy.
Preferred qualifications:
- Work experience in the field of online advertising; aware of emerging trends in web culture, media and advertising.
- Knowledge of one or more the following programming languages: Python, C++, Bash and/or SQL.
- Comfortability operating in a high-paced, changing work environment with the ability to prioritize multiple functions and tasks, manage time efficiently, and navigate ambiguity.
About the job
We are a team of linguists, analysts, program managers, and data scientists embedded within Human Evaluation and Signals. Our core expertise includes defining data labeling policies and data collection best practices; designing, building, and curating taxonomies and custom labelled datasets; training and evaluating classifiers; and enabling the larger Ads org to generate labelled datasets and ML models. Our work allows Google to build end-to-end protections for publishers, advertisers, and end-users, as well as enrich the user experience with useful ads.
Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users 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 are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.
Responsibilities
- Define and describe categories and taxonomies in accordance with product needs.
- Design categorization tasks and write annotation guidelines for language experts.
- Administer annotation workflows for language experts, ensuring balanced workloads and timely completion of projects.
- Assess and improve the quality and consistency of annotated datasets.
- Build classifiers and evaluate their quality in the context of product requirements. Debug classifier performance in order to reveal areas of improvement.
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.