GoogleplaceDublin, Ireland
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- Experience in data analysis, working with databases, and querying (e.g., SQL, MySQL, MapReduce).
- Experience relaying communications between technical and non-technical teams.
Preferred qualifications:
- Experience working with abuse, spam, fraud, or malware.
- Experience working on product policy analysis and identifying policy risks.
- Experience using statistical analysis and hypothesis testing.
- Experience analyzing Machine Learning models performance or working on LLMs.
- Strong influencing skills and ability to work in a dynamic environment.
About the job
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you’re a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed – with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Responsibilities
- Help to establish metrics to benchmark Generative-AI issues and quantify improvements. Develop datasets and run evals for engineers to evaluate and improve Search, Labs and Assistant products.
- Perform complex data analyses to derive insights that help identify and fight abuse across our products.
- Use technical judgment to drive project delivery, challenge proposals, and identify risks. Manage multiple interdependent projects of moderate to high complexity and scope against crashed timelines.
- Improve tools through data analysis, technical expertise, and presentations to key stakeholders. Enhance our operational workflows through process improvements and identification of automation opportunities.
- Perform on-call responsibilities on a rotating basis, including weekend coverage.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging and providing an equal employment opportunity regardless of race, creed, colour, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency CVs. Please do not forward CVs to our jobs alias, Google employees or any other organisation location. Google is not responsible for any fees related to unsolicited CVs.
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