AI Research Scientist, Language - Generative AI at Meta
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machine learning
Tensorflow
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Meta is seeking Research Scientists to join its Generative AI (GenAI) organization, focused on making significant advances in AI. We work on the flagship Llama language models and publish state-of-the-art research in Machine Learning.
We are currently seeking talented researchers with experience in Language Research to join and work with us on extending the capabilities of large foundation models. Researchers will drive impact by: (1) open sourcing high quality code and reproducible results for the community, and (2) bringing the latest research to Facebook products for connecting billions of users, (3) pushing for state-of-the-art research and publishing papers and technical reports. The chosen candidate(s) will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Influence progress of relevant research communities by producing publications, technical reports, and open source code.
- Contribute research that can be applied to Meta product development.
- Lead and collaborate on research projects within a globally based team.
Minimum Qualifications
- PhD degree in Computer Science, Mathematics, or similar quantitative field.
- First-author publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR).
- Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
- Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …).
- Experience to communicate complex research for public audiences of peers.
- Knowledge in a programming language.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
- High-impact publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR, ICCV,CVPR), as witnessed by citations and other signs of influencing the research community.
- 3+ years of experience in AI research beyond completing a PhD.
- Experience in developing and debugging beyond ML experimentation.
- Experience in working in an industry research environment.
- Experience in coordinating the research of PhD students or other researchers.
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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. If you need support, please reach out to accommodations-ext@fb.com.
$177,000/year to $251,000/year + bonus + equity + 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 benefits at Meta.