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Meta is seeking Research Interns to join our Meta Superintelligence Lab in one of the post-training modeling team, with a focus on Agentic AI and Products. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies that help interact with and understand our world. We are seeking individuals passionate about agentic AI, including but not limited to LLM agentic tool use, personalized AI agents, LLM agentic post-training, LLM reasoning/coding, and related areas. Our interns have an opportunity to make core algorithmic advances, prototype agentic features for Meta products, and apply their ideas at an unprecedented scale.
Job Responsibility:
Develop novel state-of-the-art agentic AI algorithms and corresponding systems, leveraging machine learning and reinforcement learning techniques
Conduct research on agentic LLMs, agentic RL environments, LLM post-training, and related topics
Analyze and improve the efficiency, scalability, and stability of agentic AI algorithms and deployed systems
Advance the science and technology of intelligent, agentic machines capable of reasoning, tool use, and personalized interactions
Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results
Disseminate research results through publications, presentations, and open source contributions
When applicable, contribute to research that can be applied to Meta product development
Requirements:
Currently has or is in the process of obtaining a Masters degree in the field of Natural Language Processing, Machine Learning, Artificial Intelligence, or similar or relevant technical field
Research and/or work experience in Natural Language Processing
Research and/or work experience in Machine Learning or Deep Learning
Experience in Python, C++, or other related languages
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Nice to have:
Intent to return to degree program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences (ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, ACM)
Experience advancing AI techniques, including contributions to open source libraries and frameworks
Experience advancing AI techniques in NLP, Computer Vision, Speech, and/or Machine Learning
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment