Workspace Trust and Safety Engineering Analyst

Google

Location
Singapore
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. 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.

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Why this level

Estimated from the posting rather than stated by the employer: asks for 2+ years · the title reads as P2.

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The role, in T&S terms

Written by the T&S Network from Google's posting.

Analyzes Workspace log data and abuse trends to build the foundation for handling Trust and Safety escalations across Google Workspace, covering consumer and enterprise users. Sits in Google's Trust & Safety team, which fights abuse such as malware, spam and account hijacking across Google products.

What you'd do

  • Extract, transform and analyze Google Workspace log data to investigate escalations and uncover bad actor tactics and vulnerabilities.
  • Run abuse trend analysis that shapes how anti-abuse safeguards get built and refined.
  • Work with engineering, product managers, program managers, data scientists and external groups to quantify complex abuse threats.
  • Shape company-wide counter-abuse plans alongside partners from other teams.
  • Build frameworks that streamline Workspace escalation handling and measure the impact of anti-abuse teams.

What it asks for

  • Bachelor's degree, or hands-on experience that stands in for it.
  • Two years analyzing data to spot trends and pull insights from both numbers and qualitative material.
  • 2 years of experience managing projects, including scope, goals and deliverables.
  • 2 years of experience manipulating data sets with SQL or other programming or scripting languages.
  • Master's degree in a quantitative discipline (preferred).
  • 2 years of experience with SQL, R, Python or C++ (preferred).
  • Two years working with machine learning systems (preferred).

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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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

Company profile

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.

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