AI Research Scientist

• Lead teams of researchers to produce original research in LLM evaluation methodologies, interpretability, and human-AI knowledge alignment.
• Develop novel frameworks and assessment techniques that reveal deep insights into model capabilities, limitations, and emergent behaviors.
• Collaborate with engineers to translate research breakthroughs into scalable benchmarks, evaluation systems, and standards.
• Pioneer new approaches to measuring reasoning, alignment, and trustworthiness in frontier AI systems.
• Author high-quality code to enable large-scale experimentation, reproducible evaluation, and knowledge assessment workflows.
• Publish in top-tier conferences and journals, establishing new directions in the science of AI evaluation.
• Work cross-functionally with leadership, engineers, and external partners to set industry standards for responsible AI evaluation and alignment.

Staff AI Research Scientist – Evaluation

Staff AI Research Scientist, Data Quality