Engineering Analyst, YouTube Trust and Safety Scaled Abuse and Analytics

Google Inc.; Mountain View, San Bruno (CA, CA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google seeks an Engineering Analyst for YouTube Trust and Safety Scaled Abuse and Analytics in Mountain View or San Bruno. You will identify abuse patterns, analyze data, and partner with engineers and policy teams to enforce policies at scale.

The role emphasizes data-driven insights, ML usage, prompt design for LLMs, incident response, and cross-functional collaboration to improve safety across Google products.

Qualifications

• 2 years of experience in data analysis, identifying trends and insights.
• 2 years of experience managing projects and defining scope and deliverables.
• Experience in SQL (e.g., SQL, MySQL, MapReduce).

Responsibilities

• Develop and implement strategies to enforce YouTube policies at scale.
• Collaborate with engineering, product and policy stakeholders.
• Provide incident response for abuse problems and mitigations.
• Communicate technical results clearly and effectively.
• Design prompts for LLMs to improve accuracy in abuse detection.

Skills

Data analysis

Project management

Education

Bachelor's degree or equivalent practical experience

Tools

SQL

MySQL

MapReduce

Job description

Engineering Analyst, YouTube Trust and Safety Scaled Abuse and Analytics

Share Engineering Analyst, YouTube Trust and Safety Scaled Abuse and Analytics

YouTube San Bruno, CA, USA ; Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA.

• 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.
• Experience in SQL (e.g., SQL, MySQL, MapReduce).

Preferred qualifications:

• 2 year of experience with machine learning systems.
• 2 year of experience with one or more of the following languages: SQL, R, Python, or C++.
• Experience leveraging Large Language Models (LLMs) to automate the detection and mitigation of platform abuse, including spam, phishing, or violative content.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As an Engineering Analyst on the YouTube Trust and Safety team, you will be directly responsible for ensuring that we identify and remove disruptive content and users, in an environment where hundreds of hours of new content is uploaded every minute, globally.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

• Develop and implement strategies and solutions to enforce YouTube policies at scale. Provide data-driven insights and recommendations for effective abuse prevention and enforcement. Leverage Machine Learning, as appropriate.
• Collaborate closely with stakeholders and partners in engineering, product and policy to drive complex anti-abuse solutions involving and impacting various cross-functional areas.
• Provide incident response for abuse problems, operating independently. Analyze and draw conclusions on root-causes and define and implement mitigation steps.
• Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate technical results and methods clearly.
• Design and refine prompts for LLMs to improve their accuracy in identifying and classifying abusive content and behavior. This may include prompt engineering, data labeling, and performance analysis.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .