Engineering Analyst, AI Safety

About the Role

The Engineering Analyst, AI Safety at Google is dedicated to mitigating risks associated with generative AI by leveraging advanced machine learning techniques and data science methods. The role involves developing scalable safety solutions, automated data pipelines, and self-service dashboards while providing actionable insights to improve protection measures.

Benefits and Compensation

Eligible US-based employees enjoy a comprehensive benefits package that includes:

• Health, dental, vision, life, and disability insurance
• 401(k) retirement plan with company match
• 20 days vacation per year (accruing over time)
• 40 hours/year statutory sick time plus discretionary leave
• Maternity leave up to 30 weeks and 18 weeks baby bonding leave
• 13 paid holidays per year

The US base salary ranges from $105,000 to $151,000 plus bonus, equity, and benefits. Please note that compensation details reflect the base salary only.

Minimum and Preferred Qualifications

Minimum: Bachelor's degree or equivalent practical experience, 1 year of experience in data analysis and project management, and experience working with SQL or Python.

Preferred: Master's degree in a quantitative field, experience with cyber-security, incident response, threat intelligence, metrics design, and the ability to clearly communicate complex technical issues.

Responsibilities

• Develop scalable safety solutions for AI products using machine learning and AI techniques.
• Apply statistical and data science methods to evaluate and enhance protection measures.
• Create compelling data stories for stakeholders including executive leadership.
• Develop automated data pipelines and self-service dashboards for real-time insights.
• Handle sensitive and potentially graphic content responsibly.

Team and Culture

At Google, you will join a multidisciplinary team of data scientists, machine learning experts, analysts, and program managers working together to protect users and maintain trust across Google products.

Key skills/competency

• Data Analysis
• Machine Learning
• AI Techniques
• SQL
• Python
• Project Management
• Cyber-security
• Automation
• Dashboard Development
• Statistical Analysis