Google is looking to solve the problem of protecting its search users from spam and harmful content by identifying and preventing manipulative behavior, and enhancing search ranking algorithms.
Requirements
- Experience in data extraction, manipulation, and analysis using SQL and scripting languages (e.g., Python).
- Experience with web technologies, search engine ecosystems, and common web abuse tactics.
- Experience collaborating with engineering teams to design, develop, and launch technical solutions or algorithm improvements.
- Experience in designing and developing novel machine learning models and data pipelines for abuse fighting.
- Experience in or understanding of the SEO industry and webmaster practices.
- Ability to contribute to the areas related to data science, machine learning, or abuse fighting.
- Experience with advanced technologies (e.g., custom ML models, LLMs, graph analysis) for spam detection, measurement, and enforcement.
Responsibilities
- Lead, manage, and develop a team of engineering analysts, defining and leading the direction for analyzing, detecting, and combating emerging and spam threats for Search.
- Develop and advocate innovative investigative methodologies and frameworks to understand and measure the spam ecosystem, pioneering the use of advanced technologies (e.g., custom ML models, LLMs, graph analysis) for spam detection, measurement, and enforcement.
- Serve as a technical expert on spam analysis, data exploitation, and anti-abuse techniques within Search.
- Lead investigative components of anti-spam projects, often spanning multiple teams and systems, while maintaining deep expertise in the external Search Engine Optimization (SEO), tools, and tactics.
- Represent the team's investigative capabilities and insights in technical and product reviews while advising and influencing executive leadership (Directors, VPs) and partner teams on anti-spam strategy, policy, and enforcement.
- Apply 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.
- Identify, analyze, and mitigate various forms of spam across a broad range of search surfaces, leveraging both established techniques research.
Other
- Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering), or equivalent practical experience.
- 8 years of experience in data analysis, statistical modeling, abuse detection/prevention, or a related field (e.g., search quality, data science).
- 12 years of experience in roles focused on abuse detection, anti-spam, search quality, or adversarial data analysis (preferred).
- Ability to influence executive leadership and cross-functional teams on technical strategy and product direction, and drive multi-quarter roadmaps for investigative projects or anti-abuse efforts.
- Commitment 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.
