Defending the integrity of Google Search by identifying and preventing manipulative behavior, contributing to the development and enforcement of spam guidelines, and partnering with engineering teams to enhance search ranking algorithms to protect users from spam and harmful content.
Requirements
- 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 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.
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 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.
Other
- Bachelor's degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, or Engineering) or equivalent practical experience.
- 2 years of experience managing projects and defining project scope, goals, and deliverables.
- 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.
