US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Develop, implement, and lead strategies to enforce YouTube policies at scale, providing data-driven insights for effective abuse prevention using machine learning.
Collaborate closely with stakeholders and partners in engineering, product and policy to drive complex anti-abuse solutions.
Provide rapid incident response for abuse problems by operating independently, analyzing root causes, and implementing effective mitigation steps.
Master complex technical concepts and systems to deliver impactful results, communicating technical findings clearly to various audiences.
Design and refine prompts for Large Language Models (LLMs) to improve their accuracy in identifying and classifying abusive content through prompt engineering and data labeling.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
5 years of experience managing and leading projects, defining project scope, goals, and deliverables, and working with multiple stakeholders.
Experience using 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 Engineering, Computer Science, Mathematics, Statistics, a related technical field, or equivalent practical experience.
5 years of experience or familiarity with machine learning systems.
5 years of experience or familiarity with Trust and Safety scaled abuse detection.
Demonstrated track record of leveraging LLMs and generative AI technologies to solve business problems.
Developed problem-solving and analytical abilities with a proven history of going above and beyond to make operational improvements and solve complex problems.
Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
5 years of experience managing and leading projects, defining project scope, goals, and deliverables, and working with multiple stakeholders.
Experience using Large Language Models (LLMs) to automate the detection and mitigation of platform abuse, including spam, phishing, or violative content.
