Senior Engineering Analyst, Trust and Safety, RAI Testing, Scaled Testing
Washington D.C., DC, USA · Senior · Full-time · Posted Oct 22, 2026
- Experience
- 5 years in data analysis and 5 years managing projects; preferred qualifications also state 5 years of experience or familiarity with listed programming languages and machine learning systems.
- Education
- Bachelor's degree or equivalent practical experience; preferred: Master's degree in a quantitative discipline.
About the job
Leads technical strategy and builds automated evaluation, launch, and monitoring systems for safety testing of Google’s generative AI models and products.
What you'll do
- Drive the multi-quarter T&S RAI SCALE roadmap, metrics, and automated governance.
- Turn high-risk safety evaluations into scalable automated pipelines and establish evaluation standards with partner teams.
- Architect connected testing and monitoring data systems; advise leaders on ambiguous safety issues and mentor Engineering Analysts.
What they ask for
- 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 have
- Master's degree in a quantitative discipline.
- 5 years of experience or familiarity with SQL, R, Python, or C++; machine learning systems; excellent written and verbal communication skills.
Pay
$159000 - $230000 (USD) base salary
Tools
SQL, R, Python, C++
AI focus
Develops and scales safety evaluations, automated testing pipelines, LLM-as-a-judge autoraters, and continuous monitoring for generative AI models and products.
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