Engineering Analyst, YouTube Traffic Abuse

Engineering Analyst, You Tube Traffic Abuse

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About the job:
Fast‑paced, dynamic, and proactive, You Tube’s Trust & Safety team is dedicated to making You Tube 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 front lines of enhancing the You Tube experience, building internet safety, and protecting free speech in our ever‑evolving digital world.

As a Scaled Abuse Analyst, you will be a key contributor to the strategy for reducing network badness on You Tube. You will balance short‑term requirements while demonstrating the ability to make quantitatively based long‑term recommendations accordingly. This role may require on‑call work on weekends on a rotational basis. It may also expose you to graphic, controversial and sometimes offensive video content during team escalations in line with You Tube’s Community Guidelines.

At You Tube, 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.

The US base salary range for this full‑time position is $126,000–$181,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

• Apply advanced statistical methods to data sets to understand impact of abuse on the You Tube ecosystem and 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.
• Learn concepts and systems and deliver results using them; communicate technical results and methods.
• Maintain, foster and promote quality by providing regular feedback metrics to the Global team; 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.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals and deliverables.

• Master’s degree in a quantitative discipline.
• 5 years of experience in collecting, managing and synthesizing data sets and information, statistical modeling, data mining and data analysis.
• 5 years of experience in managing projects and defining project scope, goals and deliverables.
• 2 years of experience with applied machine learning.
• Excellent written and verbal communication skills.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Seniority Level: Not applicable.

Employment Type:

Full‑time.

Job Function:
General Business, Strategy/Planning, and Consulting;
Industries:
Information Services and Technology, Information and Internet.