Engineering Analyst, Trust and Safety at YouTube

About the Role

The Trust and Safety team at YouTube operates in a fast-moving, dynamic environment focused on ensuring the platform is secure for users, creators, and viewers worldwide. This team addresses online content issues, navigates legal parameters, and enforces policies that maintain a safe, expressive community. Your work will influence strategies to reduce harmful activities on the platform, introducing technological solutions and standards while balancing various operational demands. On-call weekend shifts are part of the role, and exposure to graphic or sensitive content during escalations is expected.

Responsibilities

• Conduct investigations into fraud and spam by analyzing diverse data sources, identifying platform weaknesses, and spearheading experiments aimed at mitigating abuse.
• Collaborate with engineers and cross-functional teams to enhance workflows through process optimization, automation, and creation of anti-abuse systems.
• Develop and optimize prompts for Large Language Models to increase their effectiveness in detecting and classifying harmful content using prompt engineering, labeling, and analytical techniques.
• Utilize advanced statistics to evaluate datasets, understand the influence of abuse on YouTube, and contribute to innovative workflow designs.
• Gain proficiency in relevant technical systems and apply them to produce impactful outcomes.
• Support quality assurance initiatives by delivering performance feedback to global teams and managing solutions to streamline training and maintain quality standards.

Qualifications

Minimum Requirements:

• Bachelor's degree or equivalent experience.
• At least one year of experience in data analysis, including trend identification, summarization, and insight extraction from both quantitative and qualitative sources.
• One year of project management experience encompassing scope definition, goal setting, and deliverable planning.
• At least one year familiarity with one or more programming languages such as SQL, R, Python, or C++.

Preferred Qualifications:

• Master's degree in a quantitative field.
• One year of experience working with machine learning systems.
• Expertise in gathering, managing, and synthesizing data from multiple sources, statistical modeling, data mining, metrics analysis, experiment design, and automation.
• Strong communication abilities.

Additional Information

Google is committed to equal employment opportunity and affirmative action, welcoming applicants regardless of personal characteristics or backgrounds. Accommodations are available for applicants with disabilities or special needs upon request.