The Company is seeking a VP of Machine Learning Research to define and lead the research strategy for agentic AI and LLM capabilities. The successful candidate will be responsible for building, mentoring, and leading a team of researchers and ML engineers, guiding research into various aspects of agentic AI, and establishing rigorous evaluation methods. This role requires close collaboration with engineering and product leaders to ensure that promising research is effectively integrated into real products. The VP will also be expected to stay hands-on with technical work, helping the team design experiments and solve complex problems. Applicants for the VP of Machine Learning Research position at the company should have deep expertise in machine learning, with a focus on LLMs, and direct experience in researching or developing agentic AI systems. A strong record of research contributions and the ability to translate experimental work into practical applications are essential. The role demands experience in leading research teams, hiring talent, and setting technical direction, as well as a strong understanding of model adaptation, evaluation, and the trade-offs involved in deploying AI systems. The ideal candidate will be comfortable balancing long-term research with immediate product priorities in a startup environment and will have the opportunity to shape the research agenda for a portfolio of agentic AI products.