Senior Engineering Analyst, Trust and Safety Search
AI Summary ✨
Requirements:
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.
Nice to haves:
5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
Experience driving data labeling quality improvements, and working on product policy analysis and identifying policy risk.
Experience working on product policy analysis and identifying policy risks and experience with SEO, website development, or as a website owner/manager.
Experience designing sampling approaches and using statistical analysis for making product recommendations.
Experience in tuning and applying Large Language Models for data labeling.
Excellent written and verbal communication skills.
What you'll be doing:
Develop domain knowledge in Search infrastructure, ranking signals, and products.
Contribute to prompt-based Large Language Models that can evaluate content safety according to our product policies.
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.
Collaborate effectively with cross-functional teams, including Engineering, Product, Policy, and Legal, to develop and implement 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.
Perks and benefits:
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