The posting
Minimum qualifications:
- Bachelor's degree 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:
- 5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- Experience designing sampling approaches and using statistical analysis for making product recommendations.
- Experience in prompt engineering and applying Large Language Models for data labeling.
- Experience working on product analysis and identifying deceptive behaviors.
- Experience with SEO, website development, or website management.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
About the job
As part of the broader Trust and Safety organization, we leverage our technical expertise and deep understanding of deceptive behaviors and practices on the web to protect users from harm and build their trust in Search. We address emerging and evolving threats like webspam, scams, and cross-surface manipulation that directly target users. We achieve this by deploying scaled solutions and operational automations alongside our partners, protecting the integrity and quality of Search against evolving abuse tactics.
As an Engineering Analyst in the Trust and Safety Search, you will work to discover, measure and mitigate user trust risks in Search through automated and scalable solutions. This would include working on Search results and various Search features with a focus on deceptive behaviors (e.g., webspam, scams, etc.). You will build relationships and work closely with Search engineers, Product Managers, and UX specialists to protect Google Search users from spam and harmful content. You will apply your analytical and technical skills to identify and prevent manipulative and deceptive behaviors, contribute to the development and enforcement of spam guidelines, and partner with engineering teams to enhance search ranking algorithms. Our aim is to resolve problems at scale by working with engineers on automated product protections, Large Language Model solutions, and/or through vendor support. This role will be exposed to graphic, controversial, and/or upsetting content.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop domain knowledge in Search infrastructure, ranking signals, and products. Develop prompt-based AI Raters that can evaluate content safety in Google products.
- Investigate and analyze complex patterns of badness and 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.
- 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.
