[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Meta Platforms · Bellevue, WA +5 more # Research Scientist Intern, FAIR - Multimodal Foundations (PhD) Bellevue, WA +5 more Early career Research & Science Listed on Meta Platforms’s official careers site. Listed as of November 1, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2322361288548512/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / 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/](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 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 25, 2026 - Last checked: Nov 1, 2026 - Listed for: 7 days - Location: Bellevue, WA +5 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2322361288548512/) ## Hiring at Meta Platforms - Open jobs: 1,310 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [AI Research Assistant (PhD)](https://jobs.opennash.com/companies/meta-platforms/jobs/7e45c6d881e3d2a278ac/) Paris, France ### [AI Research Engineer](https://jobs.opennash.com/companies/meta-platforms/jobs/2ce2068cd9fcf1053dc1/) Menlo Park, CA ### [AI Research Manager - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/2b9038fb99fde6a938ed/) Menlo Park, CA ### [AI Research Scientist (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/72288ea280f9f76d6d0c/) Bellevue, WA +1 more ### [AI Research Scientist - FAIR, MSL](https://jobs.opennash.com/companies/meta-platforms/jobs/bb3308d76ff6faee2fc3/) Menlo Park, CA ## Similar jobs at other companies ### [Research Intern - Interactive Multimodal Futures Group (Situated, Social & Ubiquitous Computing)](https://jobs.opennash.com/companies/microsoft/jobs/e0dc2a5469f2ccffb334/) Microsoft · United States, Washington, Redmond ### [Senior Research Scientist, Multimodal Foundation Models and Robotics](https://jobs.opennash.com/companies/nvidia/jobs/8ef97f155fc33ed9a5ce/) NVIDIA · US, CA, Santa Clara ### [AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation](https://jobs.opennash.com/companies/apple/jobs/ddec3d9e4aa9f99c549d/) Apple · Seattle, United States of America ### [Research Scientist, Multimodal Alignment, Safety and Fairness, DeepMind](https://jobs.opennash.com/companies/alphabet/jobs/56283b89755476243736/) Alphabet · Mountain View, CA, USA +1 more OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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