Google's Trust and Safety Intel Analysis team is looking to deliver risk intelligence that drives decision making and systematic mitigation by proactively identifying, analyzing, and prioritizing trust risks, empowering Google teams and executives with actionable intelligence to make informed decisions and take timely action to mitigate threats, enhance user safety, and maintain trust in Google products.
Requirements
- 5 years of experience with SQL and Python (or similar languages) for data transformation and analysis
- 3 years of experience with foundational concepts in machine learning, including model evaluation and prompt engineering.
- Experience with metrics development and A/B testing (modeling, experimentation, and causal inference).
- Experience in data transformation, structured labeling, and creating machine-readable datasets.
- Experience in technical Trust and Safety, threat intelligence, risk analysis, or related roles, including abuse detection, adversarial tactics and model evaluations for safety and robustness.
- Experience with risk intelligence workflows (collection, analysis, dissemination).
- Familiarity with Large Language Models (LLMs)
Responsibilities
- Demonstrate expertise in SQL and familiarity with Python to design, build, and maintain automated data pipelines, report dashboards, and reusable frameworks.
- Develop and maintain robust evaluation datasets and metrics to measure the efficacy and coverage of intelligence-to-enforcement pipelines.
- Translate qualitative threat intelligence into technical artifacts, including structured data and machine-readable prompt sets for Large Language Models (LLMs).
- Gather requirements from non-technical stakeholders and transform raw data into clear, actionable visualizations and reports.
- Act as a link between intelligence analysts and product, engineering, and policy teams.
- Create feedback loops that inform policy and system improvements.
- Assess the performance of automated systems in detecting and mitigating risks.
Other
- 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.
- Excellent communication skills and the ability to collaborate with analysts, engineers, and policy stakeholders.
- Ability to navigate imperfect data and prioritize under uncertainty in a changing threat landscape.
