D. in Computer Science, Machine Learning, Statistics, or a closely related field + 5+ years of experience managing or leading research teams in an industry setting, with demonstrated ability to attractand retain strong research talent + Experience publishing research at top-tier AI/ML venues (NeurIPS, ICML, ICLR, ACL, EMNLP) + Experience partnering with applied science and engineering teams to translate research into production systems, tools, or capabilities adopted by others + Technical depth in AI evaluation, with the ability to critically assess and advance methods for measuring AI system behavior, whether through automated judgment, benchmark design, synthetic data, human evaluation, or other approaches + Demonstrated ability to set research strategy, manage a research portfolio with competing priorities, and make + disciplined investment decisions across near-term and long-term work + Excellent communication skills, including the ability to represent research to executive leadership, partner teams, and the external research community **Preferred Qualifications** + Ability to bridge ML research and measurement science. The team has active projects across multiple research areas; your most immediate contribution will be bringing strategic focus to this portfolio, leading a research lifecycle that turns your team's work into high-impact internal applications, and positioning work for external impact at top-tier venues.