AI Search Integrity Engineer - Safety Platform (Equity)

Google LLC; Mountain View (CA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google LLC seeks an AI Search Engineering Analyst, Safety Risk and Platform in Mountain View, CA to protect Google Search users from spam and harmful content. You will analyze abuse patterns, generate actionable insights, and translate findings for stakeholders while collaborating with engineering teams on safeguards and ranking enhancements.

The role emphasizes data-driven threat analysis, cross-functional collaboration, and delivery of countermeasures across a global platform.

Qualifications

• Bachelor's degree in quantitative field or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.

Responsibilities

• Investigate and analyze complex patterns of abuse on Google Search, utilizing data-driven insights to develop countermeasures and enhance platform security.
• Analyze large datasets to identify trends, patterns, and anomalies that may indicate abuse or quality issues within Google Search.
• Translate complex technical analyses into insights for both technical and non-technical stakeholders.
• Produce intelligence reports on emerging attack vectors, system vulnerabilities, and adversary tactics specifically aiming Large Language Models (LLMs) architectures.
• Improve tools and automated systems through data analysis, technical expertise, and present to stakeholders.

Skills

Data analysis

Project management

SQL

Python

R

C++

Education

Bachelor's degree in quantitative field

Job description

Google LLC seeks an AI Search Engineering Analyst, Safety Risk and Platform in Mountain View, CA to protect Google Search users from spam and harmful content. You will analyze abuse patterns, generate actionable insights, and translate findings for stakeholders while collaborating with engineering teams on safeguards and ranking enhancements.

The role emphasizes data-driven threat analysis, cross-functional collaboration, and delivery of countermeasures across a global platform.