Engineering Analyst, Trust and Safety, Chrome Extensions Security
Listed on 2026-05-16
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IT/Tech
Data Analyst, Cybersecurity, Data Security, Data Scientist
Benefits
- Health, dental, vision, life, disability insurance
- 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 per year (increased to 69 hours per 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
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.
Minimum Qualifications- 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.
- 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, Tensor Flow), 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.
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 Security and Applied AI Analyst for the Chrome Web Store and Extensions Security team, you will leverage your domain expertise to perform technical investigations, uncover abuse vectors and techniques, and use your combined problem‑solving and strategic acumen to improve our protection protocols and evolve them into scalable, AI‑driven systems. You will collaborate closely with engineering and product partners to identify threats, mitigate risks, and launch new protection mechanisms to help make the Chrome platform ecosystem the safest in the world.
You will deploy solutions, both algorithmic and operational, which will enable Google to identify and flag abuse more easily, more effectively, and at scale.
The US base salary range for this full‑time position is $132,000–$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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…
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