Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows via process improvements, automation and anti-abuse system creation. Design and refine prompts for Large Language Models (LLMs) to improve their accuracy in identifying and classifying abusive content and behavior which may include prompt engineering, data labeling, and performance analysis.
Apply advanced statistical methods to large complex data sets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse. Learn complex and technical concepts and systems and deliver meaningful results using them. Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance.
Job description provided by Google.
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