What is an AI Research Scientist at Meta?
An AI Research Scientist at Meta works at the absolute frontier of artificial intelligence, driving breakthroughs that redefine how billions of people connect, communicate, and interact. Whether embedded within FAIR (Fundamental AI Research) or working on applied product teams like GenAI and Behavioral AI, you will tackle some of the most complex, high-impact problems in the industry. Your work will directly influence global-scale technologies, from foundational large language models like Llama to advanced computer vision systems, recommendation engines, and immersive virtual environments.
Unlike traditional academic research, your contributions at Meta are uniquely positioned to bridge the gap between theoretical excellence and massive-scale application. You will have access to world-class computational infrastructure, vast datasets, and a highly collaborative ecosystem of engineers and product designers. The role demands not only a deep mathematical and algorithmic understanding of machine learning but also the engineering capability to implement, scale, and evaluate these models in real-world environments.
To succeed in this role, you must possess a relentless curiosity and a passion for open science. Meta has a long-standing commitment to sharing its research with the broader community, meaning your papers, codebases, and model weights will frequently shape the global AI landscape. Whether you are optimizing text data research, developing AI alignment protocols, or building behavioral AI systems, you will be expected to push the boundaries of what is scientifically possible while keeping safety, efficiency, and user experience at the core of your designs.

