Deep practical experience applying machine learning to real-world problems, with significant depth in two or more areas such as generative AI/LLMs, NLP, computer vision, information extraction, recommender systems, graph or semantic methods, supervised or unsupervised learning, or reinforcement learning. The Principal Investigator will help define the technical direction of a portfolio that may span generative AI and large language models, retrieval-augmented generation, natural language processing, computer vision, information extraction, recommender systems, knowledge graphs, agentic systems, and MLOps.