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AI Research Scientist (Technical Leadership)

Meta· Artificial Intelligence
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Bellevue, WA$271k - $347kFull-timePosted 1w ago

About the role

Metas Monetization Ranking AI Research team seeks a technical leadership AI Research Scientist to lead foundational and applied research for Ads AI systems, shaping multi-year vision, research programs, and scalable real-world impact in ads ranking, retrieval, and optimization.

Responsibilities

  • 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 Metas 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

Qualifications

  • 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

Skills

Required:multi-year research visionAI research program leadershippublications in AI venueslarge-scale AI systems

Benefits

  • Benefits information available on Meta careers site
Last updated Oct 23, 2026. Interested? Apply on the company site.

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