Engineering Analyst, YouTube Trust and Safety

Google; Hyderabad; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Google seeks an Engineering Analyst for the YouTube Trust & Safety team in Hyderabad to identify and remove abusive content at scale, analyzing large datasets and working with global teams. You will perform fraud investigations, design prompts for LLMs, apply advanced statistics, and help develop scalable quality processes.

You should have strong data analysis, project management, and communication skills, with experience in ML systems and data mining. Weekend on-call may be required.

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.
• Master's degree in a quantitative discipline.
• 2 years of experience or familiarity with SQL, R, Python, or C++.
• 2 years of experience or familiarity with machine learning systems.
• Experience collecting, managing and synthesizing large datasets and information from disparate sources, statistical modeling, data mining and data analysis.
• Excellent written and verbal communication skills.

Responsibilities

• 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.
• Design and refine prompts for LLMs to improve their accuracy in identifying and classifying abusive content and behavior.
• Apply advanced statistical methods to large complex datasets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.
• Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly 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.

Skills

Data analysis

Project management

Communication skills

ML systems

Statistical modeling

Data synthesis

Prompt design for LLMs

Education

Bachelor's degree or equivalent practical experience

Master's degree in a quantitative discipline

Job description

• 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.

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.
• 2 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.
• 2 years of experience or familiarity with machine learning systems.
• Experience creating opportunities to innovate, conceptualize and complete while working with global teams. Experience collecting, managing and synthesizing large datasets and information from disparate sources, statistical modeling, data mining and data analysis.
• 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 an Engineering Analyst on the YouTube Trust and Safety team, you will be directly responsible for ensuring that we effectively identify and remove disruptive content and users as quickly as possible, in an environment where hundreds of hours of new content is uploaded every minute, globally. You will be passionate about technologies and have experience with analyzing large scale data and scaled systems of review. You will thrive in a fast, dynamic, demanding environment where no two days are ever the same. You will be a key contributor to the strategy for reducing network badness on YouTube. You will be an independent, critical thinker with sound metrics judgment who has a passion for coaching others, solving technological tests and setting scalable standards. You will balance the short-term requirements we face while demonstrating the ability to see the big picture and make quantitatively based long-term recommendations accordingly. You may require on-call work at weekends on a rotational basis. You will 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.

Responsibilities

• 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.
• Design and refine prompts for LLMs to improve their accuracy in identifying and classifying abusive content and behavior.
• Apply advanced statistical methods to large complex datasets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.
• Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly 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.

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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .