Senior AI Safety Researcher

• Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
• Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including senior leadership.
• Provide technical leadership by fostering growth and ensuring success of junior team members through targeted mentorship and guidance.
• Be exposed to graphic, controversial, or upsetting topics or content as this role works with sensitive content or situations. 

Minimum qualifications:

• 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 a data analysis or data science setting.
• Experience in programming languages (e.g., C/C++, Python, Java) and database languages (e.g., SQL).

Preferred qualifications:

• Master’s or Ph.D. degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.).
• Prior experience trust, safety, abuse, or fraud disciplines, especially focused on web security, harmful content moderation, and threat analysis.
• Experience with prompt engineering and fine-tuning LLMs.
  
• Proficient in developing and deploying machine learning models at scale.
• Strong written, verbal, and presentation skills to effectively communicate with a variety of stakeholders, including executive leadership.
  
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

• 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 a data analysis or data science setting.
• Experience in programming languages (e.g., C/C++, Python, Java) and database languages (e.g., SQL).