Research Scientist Intern - Omnilingual - FAIR

Meta is looking for Research Interns to join our Fundamental AI Research (FAIR) organization, within Meta Superintelligence Labs. The role of FAIR is to drive long-term research for Meta. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. We closely collaborate with other organizations at Meta to bring the latest research findings to production.

The team where this role sits is exploring new approaches to making AI more inclusive of all communities around the world, by strengthening performance across all languages. Past work in that space includes projects such as No Language Left Behind, Seamless Communication, Omnilingual ASR and Omnilingual Machine Translation. The mission is to develop state-of-the-art algorithms that ensure AI performance is sustained across languages, both in classic chat experiences as well as agentic workflows.

This is a 2026 internship opportunity with start dates from May to September. To learn more about our research, visit https://research.facebook.com.

Responsibilities

• Perform research to advance the science and technology of intelligent systems.
• Develop novel, accurate and efficient multimodal generative models for text, image, and other media.
• Contribute research that can be applied to Meta products.
• Analyze and improve efficiency, scalability, and stability of various deployed systems.

Minimum qualifications

• Currently has, or is in the process of obtaining a MS or Ph.D. degree in AI or a related field
• Experience in PyTorch, Python or C/C++
• Experience training generative models for text, audio, image or video
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Intent to return to degree-program after the completion of the internship/co-op
• Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR, Interspeech, ICASSP, ICCV, CVPR
• Ability to communicate complex research in a clear, precise, and actionable manner
• A strong interest in theoretical and empirical research and for answering hard questions with research
• Interpersonal experience: cross-group and cross-culture collaboration

Preferred qualifications

• Intent to return to degree-program after the completion of the internship/co-op
• Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR, Interspeech, ICASSP, ICCV, CVPR
• Ability to communicate complex research in a clear, precise, and actionable manner
• A strong interest in theoretical and empirical research and for answering hard questions with research
• Interpersonal experience: cross-group and cross-culture collaboration