AI Research Scientist, Ads Ranking

AI Research Scientist, Ads Ranking

Responsibilities

• 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

• Minimum 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

• Preferred Qualifications

• Demonstrated ability to develop new debugging, evaluation, or verification methodologies that generalize across model families and prevent systemic failure modes

• Experience leading cross-organizational research programs in large-scale model training, efficient inference, or foundational model architectures

• Experience collaborating with applied research and product engineering teams to bring core ML advances from research prototype to global-scale deployment

• History of publishing influential research in top-tier machine learning venues such as NeurIPS, ICML, ICLR, or equivalent, with demonstrated impact on the broader research community

• About Meta

• Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

• United States compensation and benefits information is provided in the posting. Meta is an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

• Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.