- Perform research to push the scientific and technological frontiers of multimodal generative modeling.
- 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.
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
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Postdoctoral Researcher, FAIR - New York, United States - Meta Platforms, Inc.
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Description
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
Enable reasoning with multimodal understanding and generation systems.
Develop the next generation of platforms for AI & multimodal research.
Minimum Qualifications
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.
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
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.
Locations
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Individual pay is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.