AI Search Engineering Analyst, Safety Risk and Platform

In this role, you will be at the forefront of protecting Google Search users from spam and harmful content. You will apply your investigative and technical skills to identify and prevent manipulative behavior, contribute to the development and enforcement of spam guidelines, and partner with engineering teams to enhance search ranking Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
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benefits at Google
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Minimum qualifications
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 qualifications
Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, or Engineering).
3 years of experience in roles such as threat intelligence, data science, trust and safety, or fraud analysis.
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 with SEO, website development, or as a website owner/manager.
Experience in HTML, JavaScript, Python, or C++.

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. Analyze and solve complex problems using data and statistical methods.