AI Safety Data Scientist
Job Description
Google's Trust & Safety team is seeking an AI Safety Data Scientist to join their AI Safety Protections team. This role focuses on developing and implementing cutting-edge AI/LLM-powered solutions to ensure the safety of generative AI across Google's products. The position involves working with sensitive content and requires expertise in data analysis, machine learning, and AI safety.
The ideal candidate will work with teams developing cutting-edge AI technologies while protecting users from real-world harms. They will be responsible for developing scalable safety solutions, analyzing protection measures, and creating data-driven insights. The role combines technical expertise in machine learning and data science with a focus on AI safety and security.
Working within Google's Trust & Safety team, you'll collaborate with engineers and product managers to identify and combat abuse and fraud cases. The position offers the opportunity to work with advanced AI technologies like Gemini, Juno, and Veo in collaboration with Google DeepMind. This is an excellent opportunity for someone passionate about AI safety and interested in applying their technical skills to protect users across Google's diverse product ecosystem.
The role requires strong analytical skills, experience with machine learning techniques, and the ability to work with large datasets. You'll be part of a team dedicated to ensuring the highest levels of user safety while working with cutting-edge AI technology.
Responsibilities For AI Safety Data Scientist
- Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques
- Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop actionable insights
- Drive business outcomes by crafting compelling data stories for various stakeholders, including executive leadership
- Develop automated data pipelines and self-service dashboards to provide timely insights at scale
Requirements For AI Safety Data Scientist
- 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 managing projects and defining project scope, goals, and deliverables
- Experience with programming languages like Python and SQL
- Experience with prompt engineering and fine-tuning LLMs
- Proficiency in applying machine learning techniques to large datasets
