Linguist, Publisher Safety

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Los Angeles, CA, USA; Mountain View, CA, USA.
Remote location(s): United States.

Minimum qualifications:

• 3 years of experience with XML/HTML/CSS/JavaScript, Python (with test-driven development) or R, and SQL.

• Experience in machine learning, ontology design, and/or crowdsourcing of data.

• Experience working with linguists and engineering colleagues to improve tools and processes.

Preferred qualifications:

• Bachelor's degree in a human research-oriented field (e.g., Linguistics, Cognitive Science, Social Science).

• Knowledgeable about policy issues online (e.g., clickbait, sensationalist claims) and taxonomic classification (e.g., products and services).

• Ability to operate in a high-paced, changing work environment, prioritize multiple functions and tasks, manage time efficiently, and navigate ambiguity.

About the job

As a Linguist, you will find brand-unsafe and other unwanted content in the advertiser network using machine learning and other techniques.You will work closely with Software Engineering (SWE) teams to classify ad creatives, landing pages, and other content into sensitive categories for Publisher Control Exclusions.

Additional Information

(Colorado only*) Minimum Salary of $109,000 - $117,000 + bonus + equity + benefits.

*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation range for this role when being hired into our offices in Colorado.

Responsibilities

• Work with other linguists, engineers, analysts, and product managers to implement effective ways to detect and act on sensitive content, using standard and novel methodologies.
• Work with engineers and analysts to build annotation schemas, collect data, build manual and machine learning (ML) models, and iterate on methodologies to improve data quality, model quality, and ad safety solutions. 
• Analyze data from key performance indicators (KPI) reports and extract generalizations to identify areas of improvement to data collection and model building.
• Conduct analyses and reports using Python, SQL, R, data visualization tools, and Google-internal technologies.

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.