Vice President of Research, Machine Learning

The Company is seeking a VP of Research in Machine Learning to take ownership of the research and intelligence direction of its AI systems. The successful candidate will be responsible for defining how the AI reasons, evaluates, and improves, with a focus on real-world usefulness, robustness, safety, and long-term behavior. This role involves setting and evolving the research direction for core intelligence, making strategic decisions about model architectures, and guiding the exploration of frontier techniques. The VP of Research will also be instrumental in shaping early product intelligence direction and must have a deep experience in building or evolving real machine learning systems used in production. Applicants for the VP of Research position at the company should have a strong technical background in AI and machine learning, with a particular emphasis on model behavior, failure modes, and long-horizon trade-offs. A builder's mindset, an obsession with evaluation and correctness, and a high ownership mentality are essential. The role requires a candidate who is comfortable making high-impact decisions and is not primarily focused on publishing or managing a large research organization. The ideal candidate will be part of a high talent density, hands-on team that values collective decision-making and rapid, high-quality work. The company is dedicated to creating a truly magical product that brings practical benefits to users globally.