Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Electrical Engineering, Computer Vision, Machine Learning, or a related field Demonstrated research experience in Compression, Communications, Computer Vision, Digital Twin, World Model, or Machine Learning 2+ years experience in using Python or C++ for Machine Learning and Computer Vision Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Broad understanding of communications theory and systems - from conventional modulation, coding, beamforming, to more recent digital twin and neural network based approaches Good understanding on end-to-end pipeline for semantic communication systems from source coding, semantic features extraction, channel coding to high level neural network based end-to-end approaches, wireless digital twin, or world mode Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, conferences or journals Demonstrated experience of software, end-to-end system model, or communication system via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward Experience working and communicating cross functionally in a team environment Intent to return to a degree program after the completion of the internship/co-opMeta builds technologies that help people connect, find communities, and grow businesses.