AI Search Engineering Analyst
This job at a glance
- Who can apply
- 2–4 years of experience · Bachelor's degree or Master's degree
- Must know
- Data structures & algorithmsStakeholder managementLLMsVulnerability managementData analysisProject management
- Nice to have
- Statistics
- Work
- On-site in Mountain View
- Pay
- Not stated by the employer.
- Skill demand
- LLMs55%Stakeholder management29%Data structures & algorithms11%Vulnerability management2%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 5, 2026 · still open
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About the Role
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 algorithms. In 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.
Key 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.
Requirements & Tech Stack
- Data analysis: identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Project management: defining project scope, goals, and deliverables.
- Familiarity with one or more of the following languages: SQL, R, Python, or C++.
- Familiarity with machine learning systems.
- Experience with SEO, website development, or as a website owner/manager.
- Experience in HTML, JavaScript, Python, or C++.
Qualifications
- Bachelor's degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, or Engineering) or equivalent practical experience.
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, or Engineering) preferred.
- 3 years of experience in roles such as threat intelligence, data science, trust and safety, or fraud analysis preferred.