Postdoctoral Researcher, FAIR
About the job
SummaryBy Outscal
Must have:
- PhD in AI, Speech, Multimodality, NLP or related field
- Experience in deep learning frameworks (PyTorch, TensorFlow), C, C++, Python
- Experience in AI frameworks like Hugging Face
- Experience in training and use of language models and Transformers
- Proven track record of research achievements (publications, grants, etc.)
Good to have:
- Demonstrated research and software engineering experience (internship, work experience, open source contributions)
- Experience building systems based on machine learning and/or deep learning methods
- Experience solving complex problems and comparing alternative solutions
- 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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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, 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. 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 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.
Minimum Qualifications
- 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.
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.
For those who live in or expect to work from California if hired for this position, please click for additional information.
Locations
Data Center
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.
$117,000/year to $173,000/year + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .
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. If you need support, please reach out to .
View Full Job Description
$117.0K - $173.0K/yr (Outscal est.)
$145.0K/yr avg.
Menlo Park, California, United States
About The Company
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.
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