Job Description

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.
• 5 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications

• Master's degree in Computer Science, Information Technology, or a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.).
• Proven experience or strong foundational knowledge in broader cybersecurity principles and practices.
• Familiarity with the development lifecycle and security considerations specific to browser extensions or similar technologies.
• Working knowledge in one or more of the following areas: cyber security, threat intelligence, statistical analysis and machine learning libraries (e.g., R), programming languages (e.g., Python), Large Language Models (LLMs) or applied AI.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing 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.

Trust and Safety has the critical responsibility of protecting Google's users by ensuring online safety fighting fraud and abuse across Google products. We collaborate with anti-abuse teams across the company to identify and resolve the biggest problems that challenge the safety and integrity of our products. More specifically, in the Trust and Safety Chrome Web Store and Extensions Security team, we are responsible for protecting users from harmful extensions, while enabling developers to provide useful and safe experiences in Chrome.

As a Security and Applied AI Engineering Analyst, you will apply large-scale data analysis to protect Chrome users from abuse, discover and interpret attack vectors and leverage AI to build scaled protections to keep users safe. You will collaborate closely with Engineering and Product partners to identify threats, mitigate risks, and launch new protection mechanisms.

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.

Trust and Safety has the critical responsibility of protecting Google's users by ensuring online safety fighting fraud and abuse across Google products. We collaborate with anti-abuse teams across the company to identify and resolve the biggest problems that challenge the safety and integrity of our products. More specifically, in the Trust and Safety Chrome Web Store and Extensions Security team, we are responsible for protecting users from harmful extensions, while enabling developers to provide useful and safe experiences in Chrome.

As a Security and Applied AI Engineering Analyst, you will apply large-scale data analysis to protect Chrome users from abuse, discover and interpret attack vectors and leverage AI to build scaled protections to keep users safe. You will collaborate closely with Engineering and Product partners to identify threats, mitigate risks, and launch new protection mechanisms.

Responsibilities

• Conduct investigations through reverse engineering, enforce our product policies, learn abuse patterns, and establish ground truth data to train automated systems.
• Identify vulnerabilities and performance gaps in automated and manual review pipelines.
• Design AI-powered and automated solutions that enable scalable identification of malware, and other harmful techniques.
• Collaborate with other teams to develop and deploy new detection methods and signals.
• Understand the abuse landscape and techniques.