Staff Research Scientist - ML Innovation for Products

ML Innovation for Products team in the ML modeling organization is seeking a staff Research Scientist to join forces in driving innovation in retrieval, ranking, and auction systems across Meta's core Ads business. Our mission is to advance recommendation systems through applied ML, RL, and LLM research, delivering measurable impact on Meta's revenue growth.

Our applied machine learning and research team within Meta's applied machine learning organization is focused on the state-of-the-art 0-to-1 ML that powers retrieval, ranking, and auction across Meta's ads systems. You will join a multi-disciplinary team working on advanced machine learning techniques, including reinforcement learning, graph/representation learning, sequence modeling, and long-term value optimization. Our projects span memory-augmented modules for LLMs (memory modules for LLMs), graph learning with multimodal representations, and RL-driven dynamic tuning of ad ranking models. We collaborate closely with other orgs and Research and develop innovative ML/AI models, including memory-based sequence modeling, LLMs and reinforcement learning or graph learning Design methods, tools, and infrastructure to analyze and leverage rich multimodal and sequential data sets Drive and demonstrate measurable business impact contributing directly to Meta's revenue growth Set technical direction for projects, collaborating with and mentoring researchers and engineers Transition and deliver research work into production, impacting Meta's Ads ranking ecosystem Collaborate with cross-functional teams to drive business impact through ML innovationBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD or MSc degree in Computer Science, Engineering, Electrical Engineering, Statistics, Mathematics, or related field Experience developing machine learning models at scale, from inception to business impact Programming experience in Python and hands-on experience with frameworks such as PyTorch Exposure to architectural patterns of large-scale software applications Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches Experience with reinforcement learning, graph neural networks, or large language models (LLMs) Experience with recommendation systems, retrieval, or ranking at scale Track record of publications in top ML/AI venues (NeurIPS, ICML, ICLR, KDD, etc.) Track record of setting technical direction for complex projects Experience mentoring researchers or engineers Demonstrated ability to translate research into production systems with measurable business impact Experience in ads, auction systems, or monetization MLMeta 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.Meta is proud to be 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. You may view our Equal Employment Opportunity notice here .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 .