Engineering Analyst, Trust and Safety Search
Job Summary
Job Description
- Bachelor's degree or equivalent experience
- 1 year data analysis experience
- 1 year project management experience
- Analyze large datasets to identify trends
- Collaborate with cross-functional teams
- Develop countermeasures to enhance platform security
- Experience designing sampling approaches and statistical analysis
- Experience tuning and applying large language models
- Experience driving data labeling quality improvements
- Experience with product policy analysis and SEO
6 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 1 year of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- Experience designing sampling approaches and using statistical analysis for making product recommendations.
- Experience in tuning and applying large language models for data labeling.
- Experience with driving data labeling quality improvements.
- Experience working on product policy analysis and identifying policy risks, and with SEO, website development, or working as a website owner/manager.
- Excellent written and verbal communication, problem-solving and critical thinking skills, with attention to detail in an ever-changing environment.
About the job
As an Engineering Analyst in the Trust and Safety (T&S) Search Intelligence team, 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. You will build relationships and work closely with Search engineers to protect Google Search users from spam and harmful content. You will identify and prevent manipulative behavior, 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, prompt-based large language model solutions, or through vendor support.
This role will be exposed to graphic, controversial and/or upsetting content.
Responsibilities
- 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 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.
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