Engineering Analyst, Trust and Safety, Ads
Google· Internet & Cloud Services· Sep 22, 2026 · 1mo ago
Sunnyvale, CA, USA · New York, NY, USA
In office
Full-time
Mid
$69K–$90K est.
2+ years exp
Job description
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 an Engineering Analyst, you will be working on fighting adversarial actors in Google Ads. You will have the ability to apply the latest advancement in AI/ML and develop scaled solutions to protect the internet users from scams and real-world harm. You will be working with Product Managers, Software Engineers (ML/Aanti-Abuse and Security Engineers), Policy, Sales and Review teams in devising strategy to outsmart the adversaries. Specifically, you will be working on developing data driven insights to identify new trends in adversarial fraud, automate enforcement using agentic AI, feature engineering/signal development for ML model improvements, reverse engineering payload, develop intelligence on threat actors, TTPs, etc., to stay one step ahead of the adversaries.
At Google we work hard to earn our users’ trust every day. Trust and 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Lead in-depth search investigations into complex TTPs (Tactics, Techniques, and Procedures) to perform actor tracking and disrupt organized fraud rings targeting Google Ads.
• Apply advanced statistical methods and technical analysis to uncover sophisticated abuse vectors such as malware distribution, cloaking, and policy circumvention. Identify anomalies and build predictive visual models that influence the evolution of automated detection systems.
• Drive the rapid response for high-severity adversarial incidents, conducting thorough root cause analyses to implement long-term preventions. Design and execute anti-abuse experiments to identify product shortcomings and stress-test Google’s protection measures against evolving scam patterns.
• Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays. Works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
• Master's degree in a quantitative discipline.
• 2 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.
• 2 years of experience or familiarity with machine learning systems.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Excellent written and verbal communication skills.
Application prep
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