Engineering Analyst, Chrome Extensions Security, Trust and Safety - Google
Job in
Kirkland, King County, Washington, 98034, USA
Listed on 2026-09-07
Listing for:
Polluxa, Inc.
Full Time
position Listed on 2026-09-07
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
- 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/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
- 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.
- 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.).
- 2 years of experience in building or reverse engineering JavaScript, PHP, mobile/web applications.
- 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.
- Excellent problem-solving and critical thinking skills with attention-to-detail in an ever-changing environment.
- Familiarity with the development life-cycle and security considerations specific to browser extensions.
- Conduct investigations to catch harmful and abusive behavior and actors, enforce our product policies, learning abuse patterns, and establishing 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.
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