Research Scientist Intern, FAIR - Multimodal Foundations (PhD)

Job description

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/.

Responsibilities

Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities). Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem. Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions.

Draft and polish research reports and/or publications. Present research outcomes to internal and/or external audiences. Contribute research that can be applied to Meta product development.

Qualifications

Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent

• Research and/or work experience in LLMs, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent 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
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading conferences in AI (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, Interspeech, etc.) Experience advancing AI, including contributions to open source libraries and frameworks 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 Intent to return to degree-program after the completion of the internship/co-op