Engineering Analyst, AI Safety
Job Overview
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Job Description
Overview
The Engineering Analyst, AI Safety role at Google focuses on developing scalable safety solutions for AI products, applying advanced machine learning and data science methods, and delivering actionable insights to improve security measures.
Benefits
Eligible US based employees receive a comprehensive benefits package including:
- Health, dental, vision, life, and disability insurance
- 401(k) retirement benefits with company match
- 20 days of vacation per year
- Sick time allotment
- Maternity and Baby Bonding Leave
- 13 paid holidays annually
Minimum & Preferred Qualifications
Requires a Bachelor's degree or equivalent practical experience, 1 year of data analysis experience and project management skills with SQL or Python. Preferred: Master's degree in a quantitative field, scripting expertise, and experience in cybersecurity and metrics/process automation.
Responsibilities
- Develop scalable safety solutions using machine learning.
- Apply statistical and data science methods to enhance security.
- Craft compelling data-driven stories for executive stakeholders.
- Develop automated data pipelines and self-service dashboards.
- Handle sensitive or potentially upsetting content responsibly.
About the Team
At Google, you will work with a diverse team of data scientists, machine learning experts and safety professionals dedicated to mitigating risks associated with generative AI and abuse across Google products.
Key skills/competency
- Data Analysis
- Machine Learning
- Python
- SQL
- Cybersecurity
- Automation
- Project Management
- Statistical Analysis
- Dashboard Development
- Risk Mitigation
How to Get Hired at Google
- Customize your resume: Tailor skills to AI safety and data analysis.
- Highlight projects: Emphasize relevant experience in machine learning.
- Research Google: Understand their culture, mission, and products.
- Prepare data stories: Be ready with examples of actionable insights.
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