Job description

Meta's Monetization RankingAI Research team advances state-of-the-art AI technologies to optimize retrieval, ranking, bidding, and whole page optimization for Meta ads—driving significant annual revenue across Facebook and Instagram. We are seeking a distinguished AI Research Scientist at the technical leadership level to lead foundational and applied research for Ads AI systems. In this role, you will define the long-term research vision for Ads Ranking models, spanning areas such as generative retrieval, generative ranking, LLM-RecSys, large-scale model architectures, and ML systems co-design. You will shape research programs that influence Meta's advertising ecosystem and the broader AI research community, translating breakthrough findings into scalable, real-world impact. 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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12+ years of experience in AI research, spanning both foundational research and applied machine learning in an industry, academic, or government research setting Demonstrated track record of leading AI research programs of significant scope, including defining research agendas and delivering results that advance the field Extensive publication and citation history in peer-reviewed AI venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent Experience developing and deploying large-scale AI or machine learning systems, including deep expertise in areas such as large language models, generative models, multimodal learning, or AI reasoning Experience communicating complex AI research strategy and technical decisions to diverse audiences, including research peers, engineering leaders, and executive stakeholders Experience building and mentoring high-performing research teams, including developing researchers into cross-functional technical leaders Experience with ads ranking, recommendation systems, or large-scale retrieval systems Experience with generative models, LLMs for recommendation, reinforcement learning, or causal inference in production settings Track record of industry-recognized contributions that have measurably influenced the direction of the AI research community PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related technical field

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Keywords to mirror

aillmmlmachine learning

Platform: meta
Effort: medium

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