Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Artificial Intelligence, Natural Language Processing, or related field Research and/or work experience in machine learning, deep learning, and speech technology Experience with training deep neural networks for key speech tasks such as speech recognition, speech translation, speech synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word, scene understanding, etc Experience in Python Experience in deep learning frameworks (PyTorch, Tensorflow, etc) Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as Interspeech, ACL, ICASSP or similar Experience working on speech LLMs Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources 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. 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.