Senior AI Safety Researcher
Mountain View, CA, USA · Senior · Full-time · Posted Oct 6, 2026
- Experience
- 5 years in data analysis, including the specified analytical tasks; 5 years in data analysis or data science.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Develops and evaluates safeguards for Google AI products by analyzing frontier risks, identifying gaps in protections, and translating findings into improvements and stakeholder decisions.
What you'll do
- Develop scalable AI safety solutions and use statistical and data science methods to assess protections and identify shortcomings.
- Present actionable findings and data stories to stakeholders, including senior leadership.
- Mentor junior team members and provide technical leadership.
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 in data analysis or data science.
- Experience with programming languages such as C/C++, Python, or Java, and database languages such as SQL.
Nice to have
- Master’s degree or PhD in a quantitative field.
- Experience in trust, safety, abuse, or fraud; deploying ML models at scale; or prompt engineering and fine-tuning LLMs.
Pay
$159000 - $230000 (USD) base salary
Tools
C/C++, Python, Java, SQL
AI focus
Builds scalable AI safety protections for foundation models and AI products; evaluates safeguards and mitigates risks associated with generative AI. Preferred experience includes ML model deployment, prompt engineering, and LLM fine-tuning.
Model-written summary · the original posting is authoritative