D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields 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 degree program after the completion of the internship/co-op 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, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training Experience working and communicating cross functionally in a team environmentMeta builds technologies that help people connect, find communities, and grow businesses.