{"id":3277700,"url":"https://alion.io/job/google-cyber-security-and-applied-ai-engineering-analyst-chrome-platform-security","title":"Cyber Security and Applied AI Engineering Analyst, Chrome Platform Security","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":151,"ghost_share":0.046,"stale_share":0.649,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Security","role_family":"Security","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gmail","optional":false},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-26T12:11:23Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T17:19:16Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the job\nTrust & 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.\nTrust 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.\nAs 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.\nAt 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.\nResponsibilities\nConduct 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.\n\nDesign AI-powered and automated solutions that enable scalable identification of malware, and other harmful techniques.\nCollaborate with other teams to develop and deploy new detection methods and signals.\nUnderstand the abuse landscape and techniques. \nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.\n5 years of experience managing projects and defining project scope, goals, and deliverables.\nPreferred qualifications:\nMaster's degree in Computer Science, Information Technology, or a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.).\nProven experience or strong foundational knowledge in broader cybersecurity principles and practices.\nFamiliarity with the development lifecycle and security considerations specific to browser extensions or similar technologies.\nWorking 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.\nExcellent problem-solving and critical thinking skills with attention to detail in an ever-changing 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