The role involves conducting research in artificial intelligence, specifically focusing on frontier large language models, embedding models, and rerankers. The individual will innovate in the areas of information retrieval and large language model agent paradigms. Collaboration with research scientists, research engineers, and cross-functional peers is a core component of the position. The work entails addressing complex problems at the intersection of machine learning research and the practical deployment of large neural networks. The position provides exposure to the full lifecycle of model development, from initial research to production.

Candidates must possess a PhD degree in Computer Science or a related field. A strong background in machine learning, deep learning, and natural language processing is required, along with experience building complex neural networks for language and visual understanding. Applicants must demonstrate a track record of innovation through accomplishments such as first-author publications in top venues. Additionally, the role requires the ability to conduct rigorous empirical studies and maintain excellent leadership, problem-solving, and communication skills.