[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 · Menlo Park, CA # Research Scientist Intern, FAIR - Video Generation Self-Improvement (PhD) Menlo Park, California, US +1 more Internship or early career Early career Research & Science Listed on Meta Platforms’s official careers site. Posted October 27, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/29358420983776961/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist Intern, FAIR - Video Generation Self-Improvement (PhD) ## Job description Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) team within Meta Superintelligence Labs (MSL). Our mission is to advance the science of intelligence and develop technologies that push the boundaries of AI. We are looking for individuals interested in video generation, post-training of large-scale models, and self-improving agentic systems to help build the perceptual and generative foundations for next-generation AI systems. This internship offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities. 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 video generation, computer vision, and multimodal AI, including: Generative modeling for video (diffusion, flow matching, video synthesis) Post-training of large-scale video and multimodal models (SFT/RL, optimization, data curation) Multimodal understanding, reasoning, and generation Self-improving and agentic systems (multi-agent LLM/VLM systems, tool use, planning) Reward modeling and LLM/VLM-as-a-judge 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 Conduct fundamental and applied research in video generation, including generative models, video synthesis, and multimodal learning. Develop and optimize post-training paradigms for large-scale video and multimodal models, including reinforcement learning from human and AI feedback and reward modeling. Research self-improving and agentic generation systems, including multi-agent LLM/VLM pipelines and LLM/VLM-as-a-judge. Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI. Contribute to the development of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation. 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 Computer Science, Electrical Engineering, Computer Vision, Machine Learning, Artificial Intelligence, relevant technical field, or equivalent - Research and/or work experience in video generation, computer vision, or multimodal AI Experience with large-scale model training, post-training optimization techniques, and/or data curation Experience in Python, C++, or other related languages, and deep learning frameworks (e.g., PyTorch, TensorFlow) - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment - Demonstrated research and software engineering experience via internships, industry or academic work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub) Experience with video generation, video synthesis, or multimodal fusion techniques Experience with video-language models and architectures relevant to video generation and post-training Experience with LLM/VLM agents, reward modeling, or evaluation of generative models - Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals, or conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV) Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Experience solving complex problems and evaluating alternative solutions, tradeoffs, and perspectives to determine a path forward Experience working and communicating cross-functionally in a collaborative, interdisciplinary team environment Intent to return to degree-program after the completion of the internship/co-op ## At a glance - Posted by the employer: Oct 27, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 5 days - Location: Menlo Park, California, US +1 more - Employment type: Internship or early career[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/29358420983776961/) ## 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 ### [Network Engineer, Deployment & Support](https://jobs.opennash.com/companies/meta-platforms/jobs/ebaaca01d112924f7b7e/) Menlo Park, California, US +1 more ### [Product Analyst, Global Product Quality](https://jobs.opennash.com/companies/meta-platforms/jobs/b70f0180e85246a4846f/) Menlo Park, California, US +1 more ### [Software Development Engineer in Test](https://jobs.opennash.com/companies/meta-platforms/jobs/26c1a84701cc26fc2abd/) Menlo Park, California, US +1 more ### [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 ## Similar jobs at other companies ### [Video Research Engineer (Multiple Levels)](https://jobs.opennash.com/companies/qualcomm/jobs/9467b77b5e46e48fb841/) Qualcomm · San Diego, California, United States of America, Hsinchu City, Taiwan, Munich, Germany ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Senior Applied Scientist, Prime Video - Compression Efficiency Research Team](https://jobs.opennash.com/companies/amazon/jobs/18cf5bbcb9bcf98c4806/) Amazon · US, WA, Seattle ### [Senior Research Scientist - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/e9e321eedbccee5ebefa/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/428dcbbf358b2086a059/) Lockheed Martin · Louisville, CO OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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