Currently has or is in the process of obtaining a PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Natural Language Processing, or a related field Research and/or work experience in large language models, machine learning, deep learning, reinforcement learning, or related areas Experience in Python, C++, or other related languages Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Proven track record of achieving significant research results, as demonstrated by grants, fellowships, patents, or publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, COLM, AAAI, or IJCAI Research experience in agent memory, context compression, multi-agent systems, agent orchestration, self-improvement, or automated scientific research Experience building and evaluating language-model agents, including tool use, memory mechanisms, or collaborative workflows Experience with deep learning frameworks, such as PyTorch, and implementing research prototypes contributions to open source libraries and frameworks are welcome Experience designing controlled experiments, analyzing agent trajectories or large-scale experimental results, and using theoretical and empirical research to solve problems Experience working and communicating cross functionally in a team environment Intent to return to degree-program after the completion of the internship/co-opMeta builds technologies that help people connect, find communities, and grow businesses. 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.