The Senior AI Safety Researcher role at Google focuses on developing and implementing AI-powered solutions to ensure the safety of foundation models. The position is part of the AI Safety Protections team within Trust and Safety, which collaborates with Google DeepMind and other products. The team is dedicated to mitigating risks associated with generative AI and requires a deep understanding of frontier risks to build effective safeguards. This role involves working with sensitive content and requires strong analytical and leadership skills.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in data analysis, including identifying trends and generating insights from data.
• 5 years of experience in a data analysis or data science setting.
• Experience in programming languages such as C/C++, Python, or Java.
• Experience with database languages like SQL.
• Master’s or Ph.D. degree in a quantitative discipline is preferred.
• Prior experience in trust, safety, abuse, or fraud disciplines is preferred.
• Experience with prompt engineering and fine-tuning LLMs is preferred.
• Proficient in developing and deploying machine learning models at scale.

• Develop scalable safety solutions for AI products across Google using advanced machine learning techniques.
• Apply statistical and data science methods to examine Google's protection measures and develop actionable insights.
• Drive business outcomes by crafting compelling data stories for various stakeholders.
• Provide technical leadership and mentorship to junior team members.
• Work with sensitive content and be exposed to graphic or controversial topics.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.