Senior Engineering Analyst, AI Safety
Role details
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Job description
Experteer Overview As a member of the AI Safety Protections team, you will develop scalable safety solutions for Google's AI products and GenAI foundations. You will apply data science methods to assess protection measures, identify gaps, and deliver actionable insights that improve safety and risk mitigation. You will craft compelling data stories for executives and cross-functional partners, and provide technical leadership and mentorship to the team. This role combines hands-on analysis with strategic influence to safeguard users and systems at scale. Compensation / Benefits * Develop scalable safety solutions for AI products and GenAI foundations * Apply statistical and data science methods to assess protection measures and identify deficiencies * Extract actionable insights and drive data-informed security improvements * Craft data narratives for stakeholders, including executive leadership * Provide technical leadership and mentorship to team members * Collaborate with cross-functional teams and external partners on safety initiatives * Work with sensitive or potentially upsetting content with appropriate rigor and care Tasks * Bachelor's degree or equivalent practical experience * 5 years of experience in data analysis (trend identification, summary statistics, insights from quantitative/qualitative data) * 5 years of experience in data science * Proficiency with programming languages (Python, R, Julia) * Experience with SQL and scripting languages (C/C++, Python, Java) Key requirements * bonus target (15%) * equity * benefits * competitive compensation * career growth opportunities
Requirements
Analyst, teams and external partners on safety initiatives * Work with sensitive or potentially upsetting content with appropriate rigor and care Tasks * Bachelor's degree or equivalent practical experience * 5 years of experience in data analysis (trend identification, summary statistics, insights from quantitative/qualitative data) * 5 years of experience in data science * Proficiency with programming languages (Python, R, Julia) * Experience with SQL and scripting languages (C/C++, Python, Java) Key requirements * bonus target (15%) * equity * benefits * competitive compensation * career growth opportunities