The Lead AI Research Scientist II directs advanced research programs in AI safety, including experimental design, data analysis, and the development of competitive research proposals. They serve as a principal investigator to solve complex problems and lead initiatives to transition research outcomes into public safety applications.
The Research Scientist IV will design, develop, and evaluate advanced AI safety systems across various technical domains. They will also lead research workstreams, mentor junior team members, and contribute to the development of scientifically rigorous AI safety assessments.
The Research Coordinator manages the administrative, logistical, and workflow components of interdisciplinary social science and education research projects. This role facilitates team communication, ensures research compliance, tracks project milestones, and supports financial and grant administration.
The Technical Program Manager oversees the entire technical project lifecycle for Digital Safety, ensuring projects are completed on time, within budget, and according to scope. This includes coordinating cross-functional teams, managing stakeholder expectations, and mitigating risks to deliver successful outcomes.
Direct advanced research in NLP and LLM safety to protect the public from AI system harms. Lead the design of experimental studies, secure research funding through proposals, and serve as a principal investigator for digital safety programs.
The AI Research Engineer designs and evaluates safety assessment systems for large language models and NLP algorithms. This includes conducting literature reviews, coding text analytics, and publishing research results in peer-reviewed journals.
The Research Scientist III analyzes emergency response data to develop models and findings that support fire safety science. They are responsible for creating data visualizations, written reports, and reusable data products to enhance the Fire Safety Research Institute's thought leadership.
