Define and champion a multi-year research vision for Ads AI systems, identifying transformative opportunities in areas such as generative ranking, whole page optimization, large-scale model architectures, and LLM-based recommendation systems Lead the design and execution of novel AI research programs in retrieval and ranking, advancing state-of-the-art techniques for personalized ads delivery at scale Architect end-to-end AI systems and modeling frameworks for ads ranking that establish extensible technical foundations and standards adopted across multiple research and engineering organizations Drive research on next-generation sequence learning, graph-aware LLMs, AutoML, reinforcement learning, and causal learning for ads optimization Lead research on ML systems and hardware-software co-design, including quantization, compression, ML compilers, and resource-efficient AI for next-gen hardware (GPUs, MTIA) Define new evaluation metrics and experimental methodologies for long-term, cross-team AI research initiatives, connecting them to revenue and engagement priorities Influence technical strategy and roadmap across multiple AI research teams and cross-functional partners, acting as a primary point of expertise for leadership Produce high-impact publications at premier AI venues (NeurIPS, ICML, ICLR, KDD, WWW, ACL) and contribute to Meta's research reputation Mentor and coach engineers and researchers across the organization, providing customized guidance on research design, modeling approaches, and career development Partner with product, engineering, and infrastructure teams to translate research advances into reliable AI systems deployed at Meta's ads scale
