Engineering Analyst, YouTube Trust and Safety
- Location
- Hyderabad, Telangana, India
- Salary range
- Not stated
- Workplace
- In office
- Level
- Individual contributor
- Job family
- Engineering
- Posted
- Recently
The T&S Network estimates this role to be P2, Professional. We don't yet know typical pay for this level in India. Most of our pay data comes from US roles. If you work in Trust & Safety in India, add your pay to help others. Key skills at this level: builds and ships detection or enforcement systems in production, evaluates a classifier on the metric that matches the harm, not on accuracy, and works with labeled data of uneven and adversarial quality.
Why this level
Estimated from the posting rather than stated by the employer: asks for 2+ years · the title reads as P2.
The role, in T&S terms
Written by the T&S Network from Google's posting.
Engineering analyst work on YouTube's Trust & Safety team, aimed at finding and removing disruptive content and users quickly across a platform where hundreds of hours of video are uploaded every minute. The role covers fraud and spam investigations, anti-abuse experiments, and the strategy for reducing network badness on YouTube.
What you'd do
- Run fraud and spam investigations using multiple data sources to find product vulnerabilities.
- Drive anti-abuse experiments and build automation and anti-abuse systems with engineers.
- Design and refine LLM prompts to improve classification of abusive content and behavior.
- Apply advanced statistical methods to large datasets to measure the impact of abuse on YouTube.
- Develop new workflows against additional known abuse vectors.
- Give regular feedback metrics to the global team and manage tools for quality assurance.
- Build scalable training for emerging review workflows and coach others.
What it asks for
- A bachelor's degree, or hands-on work experience in place of one.
- Two years analyzing data to spot patterns, compute summaries, and draw conclusions from numbers and text.
- 2 years of experience managing projects, including scope, goals, and deliverables.
- Master's degree in a quantitative discipline (preferred).
- 2 years of experience or familiarity with SQL, R, Python, or C++ (preferred).
- Two years working with or understanding machine learning systems (preferred).
- Experience synthesizing large datasets from disparate sources and statistical modeling (preferred).
Worth knowing
- Exposure to graphic, controversial, and sometimes offensive video content during team escalations.
- On-call work at weekends on a rotational basis.
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Google before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Google




The employer
About Google
AI and model safety · Media and streaming · Infrastructure and developer tools · Mountain View, CA · More than 100,000 people · Founded 1998
Search, advertising, Android, YouTube and Cloud, and the source of Perspective API and Jigsaw.
Moderation, reported
Google files its moderation decisions with the European Commission, separately for each service below. The newest we hold cover May 2026.
- Google Shopping
- YouTube
- Google Maps
- Google Play
- Chrome Web Store
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