Search Engineering Analyst

Mountain View, United States

Minimum qualifications:

Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering) or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 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, Engineering).
5 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.
Familiarity with HTML, JavaScript, Python, or C++.
Familiarity with large language models.

About the job

The Search Quality Evaluation (SQE) team's mission is to make the world's information more useful by defending the integrity of Google Search. On the SQE team you have an opportunity to make a significant and direct impact on the quality of Google's search results. You improve user search experience by reviewing search results for quality and content. You reach out to our webmaster community, provide user support, create market-specific policies and develop tools to aid our spam-fighting endeavors. You are part of a high performing team that is passionate about keeping Google Search at its best.

This role requires a strong understanding of data analysis, the ability to develop innovative solutions and metrics, and a passion for improving the overall search experience.

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.

Your contributions will directly impact the quality and trustworthiness of Google Search for users worldwide.
Our team is dedicated to maintaining a high-quality search experience, serving as a crucial line of defense against spam and manipulative practices. A core priority is protecting users by ensuring search results are trustworthy and reliable, particularly as new technologies like AI create novel tests. This is approached through identifying, analyzing, and mitigating various forms of spam across a broad range of search surfaces, leveraging both established techniques and cutting-edge research.

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.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Investigate and analyze complex patterns of abuse on Google Search, utilizing data-driven insights to develop countermeasures and enhance platform security.
Analyze 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.
Leverage advanced technologies, including custom ML models and LLMs, to build and scale solutions for spam detection, measurement, and enforcement.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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