Enforcement Detection Analyst, YouTube, Trust and Safety

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. 2 years of experience managing projects and defining project scope, goals, and deliverables. Experience leveraging Large Language Models (LLMs) to automate the detection and mitigation of platform abuse, including spam, phishing, or violative content. Preferred qualifications Master’s degree in a quantitative discipline. 2 years of experience with machine learning systems. Excellent problem‑solving and investigative skills with the ability to go above and beyond to make operational improvements and solve tough problems. Excellent written and verbal communication skills. Proven track record of leveraging LLMs and generative AI technologies to solve business problems. About the job Fast‑paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create and express themselves. Whether understanding and solving online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever‑evolving digital world. We work together to give everyone the power to share their story, explore what they love, and connect with one another. At the intersection of cutting‑edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. The US base salary range for this full‑time position is $132,000–$189,000 plus bonus, equity, and 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 Develop and implement strategies and solutions to enforce YouTube policies at scale. Provide data‑driven insights and recommendations for effective abuse prevention and enforcement. Leverage Machine Learning, as appropriate. Collaborate closely with stakeholders and partners in engineering, product, and policy to drive complex anti‑abuse solutions involving and impacting various cross‑functional areas. Provide rapid incident response for abuse problems, operating independently. Analyze and draw conclusions on root causes and define and implement mitigation steps. Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate technical results and methods clearly. Design and refine prompts for LLMs to improve their accuracy in identifying and classifying abusive content and behavior, including prompt engineering, data labeling, and performance analysis. Google is a proud equal‑opportunity workplace and 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. #J-18808-Ljbffr Google