AI Search Engineering Analyst, Safety Risk and Platform

Mountain View, CA

Full-time

Onsite

$126K/yr - $181K/yr

Entry, Mid Level

Google is a leading technology company focused on making the world's information more useful. The AI Search Engineering Analyst will play a crucial role in protecting Google Search users from spam and harmful content by applying analytical and technical skills to enhance search quality and user trust.

Apply Now

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.
Collaborate effectively with cross-functional teams, including Engineering, Product, Policy, and Legal, to develop and implement robust solutions that enhance search quality and user trust.
Translate complex technical analyses into clear, concise, and actionable insights for both technical and non-technical stakeholders.
Produce actionable intelligence reports on emerging attack vectors, system vulnerabilities, and adversary tactics specifically targeting LLM architectures.

Qualification

Required

Bachelor's degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, or Engineering) 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

Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, or Engineering).
3 years of experience in a data-intensive role such as threat intelligence, data science, trust and safety, or fraud analysis.
Experience with SEO, website development, or as a website owner/manager.
Experience with or understanding of machine learning systems and concepts.
Experience in or familiarity with HTML, JavaScript, Python, or C++.
Familiarity with large language models.