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AI Research Scientist, Ads Ranking

Meta· Engineering
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Sunnyvale, CAFull-timePosted 2w ago

About the role

Research Scientist role in Meta's Ads Ranking organization focusing on advancing core machine learning through novel algorithms, productionizing research, and guiding long-term technical roadmaps.

Responsibilities

  • Identify and lead research on the most challenging and high-impact open problems in core machine learning, including 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

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in machine learning research, including developing and publishing novel approaches in areas such as optimization, deep learning, representation learning, or related core ML domains
  • Track record of identifying and solving foundational machine learning problems that have resulted in measurable impact on large-scale AI systems or products
  • Experience defining multi-year research strategies and influencing technical direction across multiple teams or organizations
  • Experience translating theoretical machine learning research into production systems, including designing experiments, defining evaluation metrics, and connecting research outcomes to organizational priorities
  • Experience communicating complex machine learning concepts and research findings to both technical and non-technical audiences through publications, design documents, or technical presentations

Skills

Required:Machine learning researchProductionizing researchCommunication
Nice to have:Leadership and mentorship
Last updated Oct 23, 2026. Interested? Apply on the company site.

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