AI Research Scientist, Intern - Textless NLP

AI Research Scientist, Intern - Textless NLP
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Paris, France
Meta is seeking Research Interns to join our Textless NLP team in Paris, France. This team is part of the Facebook AI Research (FAIR) organization within Meta, working to build models that learn language like pre-schoolers do, ie, from sensory data, before having access to any text. The opportunities of this work are immense. The previously separated fields of NLP and speech have made tremendous progress thanks to deep learning and are now in a position to merge, yielding language models that can be learned from raw audio, leveraging the richness and expressivity of the oral language. The challenges are also immense due to the variability and noisy nature of the speech signal compared to text, but also due to the expressivity of speech which raises novel problems for evaluation and responsible AI. As a Research Intern, you will help us apply, analyze and improve speech-based large language models (sLLMs) and other cutting-edge machine learning methods to solve these challenges. The duration of this internship is 16 weeks with Summer, Fall, and Winter start dates. Internships will be awarded on a rolling basis and candidates are encouraged to apply early. To learn more about our research visit
AI Research Scientist, Intern - Textless NLP Responsibilities
  • Perform research to advance the science and technology of intelligent machines.
  • Develop novel algorithms leveraging deep learning.
  • Probing and analyzing the learned models qualitatively and quantitatively using language science-inspired benchmarks or metrics.
Minimum Qualifications
  • In the process of obtaining a Ph.D. degree (or equivalent)
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Experience in PyTorch, Python or C/C++.
  • Research and/or work experience in machine learning, deep learning, and/or Natural Language Processing and/or Speech Processing.
Preferred Qualifications
  • Intent to return to degree-program after the completion of the internship/co-op.
  • Comfort manipulating, analyzing and visualizing complex, high-volume, high-dimensionality data from varying sources.
  • Proven track record in at least one area of language science (psycholinguistics and/or linguistics and/or phonetics and/or sociolinguistics).
  • Articulated interest for cognitive science is a plus.
  • Proven track record of achieving results as demonstrated by grants, fellowships, as well as first-authored publications at workshops or conferences such as ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR, Interspeech, ICASSP or similar.
  • Ability to communicate complex research in a clear, precise, and actionable manner.
  • A strong interest in theoretical and empirical research and for answering hard questions with research.
  • Interpersonal experience: cross-group, cross-culture and cross-disciplinary collaboration.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. 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.
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