Research Scientist Intern, FAIR - Text Data Research (PhD)

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Text Data Research team. The team is committed to building the data foundation for Meta's most advanced Large Language Models and contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. We are seeking candidates with a research focus in domains such as: natural language understanding and generation, language modeling, pre-training and post-training, low-resource NLP, question answering, machine translation, dialogue, cross-lingual and cross-domain transfer learning, and other related domains. Based in Meta Superintelligence Labs (MSL), our interns have an opportunity to directly contribute to Meta’s frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. Our team at FAIR 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://research.facebook.com.