Staff Research Scientist - US - IC6

Meta•Sunnyvale, CA

About The Position

ML Innovation for Products team in the Modeling Foundation 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 redefine recommendation systems and bidding through state-of-the-art ML, RL, and LLM research, delivering significant top-line impact on Meta’s revenue growth. 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 Memora (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 offer ample opportunities for growth, mentorship, and exposure to cutting-edge ML technologies.

Requirements

Bachelor'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
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Responsibilities

Research and develop innovative ML models, including sequence modeling, LLMs and reinforcement learning and graph learning
Design methods, tools, and infra to analyze and leverage rich multimodal and sequential data sets
Set technical direction for projects, collaborating and growing 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 innovation