Research Scientist Intern, FAIR - Multimodal Foundations (PhD)

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 worldOur 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/.

Research Scientist Intern, FAIR - Multimodal Foundations (PhD) 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.

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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

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.

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.