Postdoctoral Researcher, FAIR

1 month ago


New York, United States META Full time

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as speech/audio, multimodality, and machine learning. The ideal candidate should have a keen interest in producing new, open science to further advance multimodal (audio+video focused) generative modeling research. Postdoctoral positions are one to two year fixed-term positions.

Postdoctoral Researcher, FAIR Responsibilities

  • Perform research to push the scientific and technological frontiers of multimodal generative modeling.
  • Invent/improve large-scale data-driven paradigms for multimodal generation.
  • Enable reasoning with multimodal understanding and generation systems.
  • Develop the next generation of platforms for AI & multimodal research.
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD degree in the field of Machine Learning, Speech and Audio Processing, Multimodal Understanding and Generation, Generative Modeling, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Experience in training and use of large language models or diffusion models
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading ML conferences (NeurIPS, ICML, ICLR), Speech (Interspeech, ICASSP), and/or Computer Vision (CVPR, ECCV, ICCV)
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Experience in deep learning frameworks (such as PyTorch, TensorFlow), C, C++, Python.
  • Experience in AI frameworks like Hugging Face, fairsesq or other systems.
Preferred Qualifications
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience building systems based on machine learning and/or deep learning methods.
  • 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.
  • Research experience in machine learning, representation learning, optimization, statistics, applied mathematics, or data science.


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