Google

Runs Search and YouTube and builds Gemini AI

Engineering Analyst - Trust and Safety Monetization

Risk & ComplianceConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or equivalent practical experience.
Five years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience using SQL for technical audits and data analysis.
Experience in data analytics and scripting in Python.

Responsibilities

Perform analysis and investigations using a variety of data sources, and take enforcement actions to identify and defend against novel fraud and abuse on Google's ad products.
Partner with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows.
Identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
Drive full life-cycle projects across Product, Engineering, and Trust & Safety teams to prevent abuse by improving policies and closing product vulnerabilities.
Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner.
Review or be exposed to sensitive content.

Desired Qualifications

Experience in the digital advertising industry in a technical role.
Experience in data management, metrics analysis, experiment design, and automation.
Experience with fraud and risk management or statistical and quantitative modeling.
Experience applying machine learning or artificial intelligence in an industry setting.
Ability to communicate technical concepts to cross-regional and cross-functional stakeholders at all levels.
Ability to apply critical thinking and problem-solving skills with attention to detail in an ever-changing environment.

Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
Drive full life cycle projects across Product, Engineering, and Trust & Safety (T&S) teams to prevent abuse by improving policies and closing product vulnerabilities.
Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner.
Be able to review or be exposed to sensitive content.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience with SQL for technical audits and data analysis.
Experience in data analytics and scripting in Python.

Preferred qualifications:

Experience in digital advertising industry in a technical role.
Experience in data management, metrics analysis, experiment design and automation.
Experience with fraud and risk management or statistical and quantitative modeling.
Experience applying ML/AI in industry setting.
Ability to communicate technical concepts to cross-regional and cross-functional stakeholders at all levels.
Ability to apply critical thinking and problem-solving skills with attention to detail in an ever-changing environment.

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.

Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience with SQL for technical audits and data analysis.
Experience in data analytics and scripting in Python.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

Recently Posted Jobs

Explore more opportunities at Google

See more jobs