AI Safety Data Scientist

@ Google

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; and 5 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred Qualifications

Master’s or Ph.D. in a quantitative discipline; 5 years in large-scale data analysis or data science focusing on web security, harmful content moderation, and threat analysis; experience in scripting (e.g., C/C++), proficiency in Python, Julia, and SQL; experience with prompt engineering and fine-tuning LLMs; and proficiency in applying machine learning techniques to large datasets.

About the Job

As an AI Safety Data Scientist on the Trust & Safety team at Google, you will address critical safety challenges across Google products like Search, Maps, Gmail, and Google Ads. You will collaborate globally with engineers and product managers to fight abuse and fraud, protect users, and ensure trust. The AI Safety Protections team develops AI/LLM-powered solutions to safeguard generative AI, involving sensitive content and possibly graphic or controversial topics.

Responsibilities

• Develop scalable safety solutions leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to assess protection measures and improve security.
• Create compelling data narratives for a variety of stakeholders including executives.
• Build automated data pipelines and dashboards for timely insights at scale.

Key skills/competency

Data Analysis, Machine Learning, AI, Safety, Trust, Abuse, LLM, Python, SQL, Project Management