About the role
Lead and Inspire: Lead and grow a team of 7 Research Scientists, fostering technical excellence, innovation, and a culture of collaboration, inclusion, and continuous learning. Content Understanding Innovation: Define and drive the scientific strategy for Content Understanding and Document Intelligence, advancing multimodal AI technologies that transform unstructured content into actionable, structured knowledge. Cross-Functional Impact: Partner closely with research, engineering, product, and platform teams to align strategy, influence technical direction, and deliver differentiated AI capabilities at scale. Technical Vision and Execution: Drive the translation of scientific innovation into production services, balancing long-term research investments with customer and business impact. Doctorate in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field AND 6+ years related research experience OR Master's Degree in relevant field AND 7+ years related research experience OR Bachelor's Degree in relevant field AND 9+ years related research experience OR equivalent experience. Demonstrated expertise in one or more of the following areas: large language models (LLMs), document intelligence, multimodal AI, retrieval-augmented generation (RAG), agent memory systems, information extraction, or knowledge-centric AI. 8+ years of experience leading and growing high-performing research science teams. Proven track record of translating scientific innovation into production systems and measurable customer or business impact. Experience defining technical strategy and driving research investments across multiple time horizons, balancing near-term delivery with long-term innovation. Experience partnering effectively across research, engineering, product management, and platform organizations to deliver complex, cross-functional initiatives. Strong written, verbal, and executive communication skills, with the ability to influence technical and business leaders. Experience building and operating enterprise-scale AI products or services used by large external or internal customers. Experience developing AI systems for content understanding, information extraction, multimodal reasoning, knowledge management, or intelligent agents. Familiarity with responsible AI, security, privacy, and compliance
