Meta is seeking a Research Scientist 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, multimodality, artificial intelligence and machine learning. The ideal candidate should have a keen interest in producing new, open science to further advance multimodal language modeling research.
Research Scientist - FAIR (PhD) Responsibilities:
- Perform research to push the scientific and technological frontiers of multimodal language modeling.
- Invent/improve novel data-driven paradigms for multimodal generation.
- Enable reasoning with multimodal understanding and generation systems.
- Develop the next generation of platforms for AI & multimodal research.
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- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Speech, Multimodality, Natural Language Processing, a related 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 or other systems.
- Experience in training and use of language models and Transformers.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences (NeurIPS, ICML, ICLR), Speech (Interspeech, ICASSP) and NLP (ACL, NAACL, EMNLP).
- 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.
- 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.
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.