Engineering Analyst, Trust and Safety, Chrome Extensions Security

About the role

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.

Responsibilities

• Conduct investigations to catch harmful and abusive behavior and actors, enforce our product policies, learn abuse patterns, and establish ground truth data to train automated systems.
• Reverse engineer potentially harmful extensions (written in JavaScript) to understand their operations and impact on the Chrome ecosystem.
• Design AI-powered and automated solutions that enable scalable identification of malware, spam, and other harmful extensions.
• Collaborate with other teams to develop and deploy new detection methods and signals, train and mentor a large team of security reviewers.
• Enhance operational workflows via AI integration, process improvements, and identifying automation opportunities.

Requirements

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in building or reverse engineering JavaScript, PHP, mobile/web applications.
• Experience with quantitative and qualitative analysis, using languages like SQL and Python.

Preferred qualifications

• Master's degree in Computer Science, Information Technology, quantitative or quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
• Experience in cybersecurity principles and practices.
• Experience with static and dynamic analysis of malicious binaries.
• Knowledge of one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, TensorFlow), programming languages (e.g., Python), Large Language Models (LLMs) or applied AI.
• Familiarity with the development lifecycle and security considerations specific to browser extensions or similar technologies.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Benefits

Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Pay

$132,000 - $190,000 (USD) + 15% bonus target + equity + benefits

Schedule

Full-time