Engineering Analyst, YouTube Traffic Abuse at Google

San Bruno, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

181000.0

Posted On

05 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Project Management, Statistical Modeling, Data Mining, Machine Learning, Communication Skills, Fraud Investigation, Quality Assurance, Workflow Improvement, Technical Artifacts, Data Synthesis, Automation, Anti-Abuse Systems, Feedback Metrics, Data Sets Management, Process Improvements

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * 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. PREFERRED QUALIFICATIONS: * 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. ABOUT THE JOB: 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. As a Scaled Abuse Analyst, you will be a key contributor to the strategy for reducing network badness on YouTube. You will balance the 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. This role may 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. The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/]. 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. * 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.

Responsibilities

The role involves applying advanced statistical methods to analyze data sets related to abuse on YouTube and contributing to the development of new workflows. Additionally, the analyst will perform fraud and spam investigations and work cross-functionally to improve processes and systems.