Research Scientist Intern - FAIR - Multimodal Foundations
MetaAdded 2h ago
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Quick summaryby newgrad.ai
What you'll do
- Conduct fundamental research in artificial intelligence and machine learning.
- Develop core algorithmic advancements for multimodal systems at scale.
- Work on projects involving speech, vision, and language processing.
What they're looking for
- Expertise in generative modeling, computer vision, or natural language processing.
- Experience with frontier model training, reasoning, or transfer learning.
- Availability for internships lasting 12 to 24 weeks.
Meta is seeking Research Interns to join our Fundamental AI Research (FAIR) FAIR Communication & Language teams. These teams are committed to advancing the field of artificial intelligence through fundamental breakthroughs in technologies that help machines interact with and understand our world. We're looking for individuals passionate about Natural Language Processing, audio and speech processing, computer vision, machine learning, deep learning, and reinforcement learning. Our interns have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
We're especially interested in candidates with expertise across natural language processing, computer vision, audio/speech, generative modeling, and other multimodal domains, including:
- Frontier model training (pretraining, midtraining, SFT/RL)
- Cross-lingual and cross-domain transfer learning
- Multimodal understanding, reasoning, and generation
- Generative modeling (diffusion, flow matching, etc.)
- Modeling for the physical world
Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.meta.com/research/.
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