D. degree in Computer Science, Machine Learning, Artificial Intelligence, Reinforcement Learning, 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++, or another relevant programming language Experience conducting research and building systems based on machine learning or deep learning methods Intent to return to a degree program after completion of the internship/co-op Experience in one or more of self-supervised learning, transformers, temporal sequence modeling, representation learning, or recommender systems Experience in reinforcement learning, causal inference, counterfactual evaluation, or learning from delayed and censored outcomes Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, KDD, RecSys, and similar conferences or workshops Experience manipulating and analyzing complex, high-volume, high-dimensional data and designing controlled machine learning experiments Demonstrated software engineering experience through internships, research implementations, or open-source contributions Self-directed quantitative problem-solving and experience working and communicating across disciplines 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.