Senior Engineering Analyst, Safe Browsing, Applied AI

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.

As a part of the Trust & Safety, Safe Browsing team, your role is driven by the mission to make the world’s information safely accessible to all, working alongside Safe Browsing Engineering to protect Internet users across the globe from phishing, malware, and scams.

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 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

• Create and evaluate AI Agents that will help Safe Browsing classify web pages and reduce operational costs.
• Perform data analyses to identify harmful entities, design and implement key performance metrics, examine trends, and identify system vulnerabilities.
• Analyze potentially malicious websites to understand their behavior and impact on users, embracing technologies like Large Language Models (LLMs) to enhance our ability to fight abuse and phishing at scale.
• Collaborate with, mentor, and provide guidance to global team members.
• Review or manage exposure to sensitive or violative content as a core part of the role.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• Experience with SQL, Python, or other programming/scripting languages to manipulate datasets.

Preferred qualifications:

• Master’s or Ph.D. degree in a quantitative discipline (e.g. Computer Science, Statistics, Mathematics, Operations Research etc.).
• Experience with building AI Agentic workflows or using different Agentic architectures.
• Experience in abuse and fraud disciplines, especially focused on web security, harmful content moderation and threat analysis.
• Knowledge in one or more of the following areas: Statistical analysis and Machine Learning libraries (e.g., R, Tensor Flow), Programming languages (e.g., Python), Large Language Models (LLMs) or Generative AI.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.