Reducing network badness on YouTube by balancing short-term requirements and making quantitatively based long-term recommendations.
Requirements
- 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience in collecting, managing, and synthesizing data sets and information, statistical modeling, data mining, and data analysis.
- 2 years of experience with applied Machine Learning.
Responsibilities
- Apply advanced statistical methods to data sets to understand impact of abuse to the YouTube ecosystem.
- Contribute strategy and development of new workflows against additional known vectors of abuse.
- Translate qualitative abuse intelligence into technical artifacts, including structured data and machine-readable prompt sets for LLMs.
- Communicate technical results and methods.
- Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows.
- 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.
Other
- 2 years of experience managing projects and defining project scope, goals, and deliverables.
- 5 years of experience in managing projects and defining project scope, goals, and deliverables.
- Excellent written and verbal communication skills.
- This role may require on-call work on weekends on a rotational basis.
- This role may also be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.
