PERMANENT

FULL_TIME

ADAPTED_NOW

UNKNOWN

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. 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.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>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</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance </li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year</li></ul>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Washington D.C., DC, USA; Seattle, WA, USA</b>.<h3>Minimum qualifications:</h3><ul><li>Bachelor's degree or equivalent practical experience.</li><li>5 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.</li><li><div><div><div>Experience with SQL.</div></div></div></li></ul><h3>Preferred qualifications:</h3><ul><li>Master's degree or PhD in a technical discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).</li><li>Experience in security threat or abuse detection.</li><li>Experience in one domain, such as anomaly detection, security threats analysis and investigation, time-series analysis, Cloud Application Programming Interfaces (APIs), or metrics and reporting.</li><li>Understanding of generative AI technologies, Large Language Models (LLMs) and AI agents.</li><li>Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.</li></ul><div><h2>About the job</h2><p>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.</p><p>In this role, you will play a vital role in ensuring that Google Cloud’s Artificial Intelligence (AI) products are not only powerful but also safe, secure, and trustworthy. Your investigative skills, understanding of potential security harms, for user protection will help the teams solve testing problems in AI security and abuse at scale. You will proactively identify and mitigate emerging threats within the AI landscape, ranging from adversarial attacks to potential misuse of generative technologies. You will synthesize large datasets to uncover patterns of abuse, ensuring that Google's AI deployments remain resilient against sophisticated exploitation while upholding our responsibility for safe AI growth.</p><p>At 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.</p><p>The US base salary range for this full-time position is $159,000-$231,000 + 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.</p><p>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.</p></div><div><h2>Responsibilities</h2><ul><li>Develop and deploy scalable safety solutions for Cloud AI products by leveraging advanced machine learning and AI techniques.</li><li>Use data analysis to discover and interpret how attackers exploit Cloud AI infrastructure or use Application Programming Interfaces (APIs) for abuse, identifying weak points in our systems.</li><li>Define what constitutes abuse in ambiguous or highly novel AI use cases, ensuring our guidelines adapt to AI-driven attacks.</li><li>Analyze and measure generative/agentic AI risks using benchmarking, dataset design, and scaled usage monitoring.</li><li>Drive the rapid response for high-priority AI security incidents, conducting through Root Cause Analyses (RCAs) to implement sustainable long-term solutions. Partner with Engineering and Product teams to identify, prioritize, and develop strategies against the most pressing and novel AI threats.</li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google

Senior Engineering Analyst, Trust and Safety, Cloud AI

Analysis Skills

Application Programming Interface (API)

Artificial Intelligence (AI)

Artificial Intelligence (AI) Agents

Benchmarking

Cloud Applications

Cloud Computing

Communication Skills

Computer Science

Computer Security

Cross-Functional

Customer/Client Research

Data Analysis

Data Science

Data Sets

Detail Oriented

Employee Benefits

Equal Employment Opportunity (EEO)

Establish Priorities

Google Apps

Google Search Engine

Machine Learning

Malware

Mathematics

Metrics

Modeling Languages

Operations Research

Problem Solving Skills

Project/Program Management

Risk Management

Root Cause Analysis

SQL (Structured Query Language)

Scalable System Development

Security Analysis

Security Attacks

Software Engineering

State Laws and Regulations

Statistics

Strategic Planning

Team Player

Time Series Analysis

Trend Analysis

Use Cases

monster

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>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</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance </li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year</li></ul><h3>Minimum qualifications:</h3><ul><li>Bachelor's degree or equivalent practical experience.</li><li>2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.</li><li>Experience with one or more of the following languages: SQL or Python.</li></ul><h3>Preferred qualifications:</h3><ul><li>Master's degree in a quantitative discipline.</li><li>Experience with scripting language, machine learning tools, techniques and systems (including large language models).</li><li>Knowledge of current abuse techniques and practices.</li><li>Ability to work with a variety of stakeholders to gather requirements, explain models, and iterate to make improvements.</li><li>Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.</li><li>Excellent communication with an ability to describe technical implementations or analyses to a non-tech audience.</li></ul><div><h2>About the job</h2><p>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.</p>As an Engineering Analyst within the Trust and Safety team, you will be part of a global team that ensures the seamless detection and enforcement of some of the most egregious online harms (e.g., child sexual abuse materials, non-consensual intimate imagery, violent extremism). Through close partnerships with Product, Engineering, Policy, and Legal, you will leverage your technical acumen to design and develop novel solutions to further Google’s ability to fight this abuse worldwide.At 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.<div></div><div>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.</div><div></div><div>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.</div></div><div><h2>Responsibilities</h2><ul><li>Perform data analyses to derive insights that help identify emerging threats and fight abuse across our products.</li><li>Identify opportunities for the improvement of Google’s detection and enforcement systems as well as for automation.</li><li>Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.</li><li>Analyze statistics (e.g., precision, recall) about the performance of technical models (ML systems, classifiers, LLMs) and recognize nuanced, easily missed problems in the performance of these systems.</li><li>Review or be exposed to sensitive or graphic content as part of core role.</li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Senior Engineering Analyst, Trust and Safety, Cloud AI Google

Engineering Analyst, Trust and Safety, Egregious Harms Google

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