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 ML models performance or working on LLMs.

　　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 evaluations for engineers to evaluate and improve Search, Labs, and Assistant 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. Collaborate with other teams and functions including RAI, ResIn, Policy, Product Inclusion, etc. Improve tools through data analysis, technical expertise, and presentations to key stakeholders. Enhance our operational workflows via process improvements and identification of automation opportunities. Perform on-call responsibilities on a rotating basis, including weekend coverage.