Child Safety Engineering Analyst, Trust and Safety
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Minimum qualifications:
- 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 SQL.
Preferred qualifications:
- Master's degree in a quantitative discipline.
- Experience with scripting language, machine learning tools, techniques and systems, including large language models.
- Knowledge of current abuse techniques and practices.
- Ability to work with engineering stakeholders to gather requirements, explaining models, and iterating to make improvements.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
About the job
Google's brand is only as strong as our users' trust--and their steadfast belief that our guiding principles are what's best for them. Our Trust and Safety team has the critical responsibility of protecting Google's users by ensuring online safety by fighting web abuse and fraud across Google products. On this team, you're a big-picture thinker and strategic leader. You understand the user's point of view and are passionate about using your combined technical, sales and customer service acumen to protect our users. You work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and handle abuse and fraud cases at Google speed (read: fast!). Help us prove quality on the Internet trumps all.
As a Trust and Safety Strategist, you are responsible for protecting the integrity of some of Google's key products, including Google Search, Google Maps, Google Ads, AdSense, Google Checkout and Google Product Search. You investigate financial fraud, account-related abuse, questionable business practices, violations of Google's policies, and general misuse of our products. You are introduced to dynamic analytical techniques and you leverage custom-built technology to have a direct impact on improving the experience of millions of Google users. You subscribe to a "user-first" philosophy and are interested in improving Google's user experience and product integrity. You are comfortable navigating ambiguity and thrive in a fast-paced environment. You harness your analytical and technical skills to drive tool development and process improvements.
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.
The US base salary range for this full-time position is $126,000-$181,000 + 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
- Perform complex data analyses to derive insights that help identify emerging threats and fight abuse across our products.
- Identify opportunities for the improvement of Google’s detection and enforcement systems as well as for automation.
- Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.
- Compute statistics (e.g., precision, recall) about the performance of complex technical models (ML systems, classifiers, LLMs) and recognize nuanced, easily missed problems in the performance of these systems.
- Review or be exposed to sensitive or graphic content as part of the core role.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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