AI Research Scientist, Ads Ranking

Meta is seeking a Research Scientist to join our Ads Ranking organization. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, and computational statistics, particularly including areas such as: sequential decision making, graph learning, reinforcement learning, deep learning, data representation and theory, and optimization. The ideal candidate will have an interest in producing new science to understand intelligence and technology to make computers smarter, and an equal interest in taking new research findings in this area and implementing them towards product needs.

Identify and lead research on the most challenging and high-impact open problems in core machine learning, including areas such as optimization, generalization, representation learning, and scalable training Develop novel machine learning algorithms, architectures, and theoretical frameworks that advance the state of the art and address previously intractable problems Translate fundamental research findings into production-grade systems that deliver measurable improvements to Meta's AI-powered products and infrastructure Define and drive the long-term technical vision and research roadmap for a core ML domain, gaining alignment across multiple research and engineering organizations Establish extensible technical foundations, modeling standards, and evaluation frameworks that promote consistency and quality across research teams and product areas Identify systemic gaps in existing ML approaches and develop invariants, benchmarks, and methodologies that prevent entire classes of modeling failures Collaborate with research engineers, product teams, and infrastructure organizations to ensure research advances are operationalized at scale with reliability and efficiency Communicate complex research findings through publications, technical reports, and presentations that serve as long-term reference points for the broader ML community Mentor other researchers and engineers across the organization, providing customized technical guidance and fostering rigorous and innovative research practices Monitor developments in the academic and industry ML landscape to identify emerging techniques and assess their relevance and risk to Meta's research strategy