D. degree in Machine Learning, Artificial Intelligence, Computer Science, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or a related technical field Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Experience with deep learning frameworks such as PyTorch or TensorFlow Experience with Python, C++, C, Java, or other related languages Experience with research and building systems based on machine learning and/or deep learning methods Intent to return to the degree program after the completion of the internship/co-op Proven track record of achieving significant research results, including first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, ACL, AAAI, KDD, CoRL, or similar Research experience in one or more of the following: LLM agents, language-model post-training, reinforcement learning, planning, meta-learning, or learning from interaction Demonstrated software engineering experience through research, internships, coding competitions, or contributions to open-source repositories Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches Experience working and communicating cross-functionally in a team environmentMeta 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.