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 their 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.
In this role, you will have experience with analyzing data and scaled systems of review. You work in a changing and demanding environment. You will be a key contributor to the strategy for reducing network badness on YouTube. You will be solving technological tests and setting standards. You will balance the requirements . You will require on-call work at weekends on a rotational basis. You will also be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working 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.
Responsibilities
- Perform fraud and spam investigations using multiple 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 by 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, including prompt engineering, data labeling, and performance analysis.
- Apply advanced statistical methods to datasets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows.
- Learn technical concepts and systems and deliver results using them.
- Maintain and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce training solutions.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 1 year of experience in managing projects and defining project scope, goals, and deliverables.
- 1 year of experience with one or more of the following languages: SQL, R, Python, or C++.
Preferred qualifications:
- Master's degree in a quantitative discipline.
- 1 year of experience with machine learning systems.
- Experience with collecting, managing and synthesizing datasets and information from disparate sources, statistical modeling, data mining and data analysis, and with metrics analysis, experiment design and automation.
- Excellent communication skills.