AI Research Scientist - FAIR, MSL

Meta is seeking a Research Scientist to advance core machine learning research that powers products and systems at global scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling and large-scale model training. You will work alongside a team of researchers and engineers to translate foundational ML advances into real-world impact across Meta's AI-driven products and platforms. This is an opportunity to contribute to the scientific community through publications while building systems that shape how billions of people experience AI.

Design and conduct original machine learning research in areas such as deep learning, generative models, representation learning, or optimization Develop, implement, and evaluate novel ML algorithms and model architectures using large-scale training infrastructure Translate research findings into production-ready systems in collaboration with engineering and product teams Run controlled experiments to test research hypotheses and make data-driven decisions about model design and training strategies Contribute to the preparation and submission of research papers to peer-reviewed venues and conferences Participate in code reviews and maintain high standards for research code quality, reproducibility, and documentation Instrument experiments with appropriate logging, monitoring, and evaluation metrics to understand model behavior at scale Collaborate with cross-functional partners including data scientists, engineers, and product teams to identify high-impact research directions Identify and address performance bottlenecks in model training and inference pipelines Provide technical feedback to peers through design reviews, experiment critiques, and research discussions