[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Menlo Park, CA +2 more # AI Research Scientist, Video Generation and Post Training, FAIR Menlo Park, CA +2 more Research & Science Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1647169276484472/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / AI Research Scientist, Video Generation and Post Training, FAIR ## Job description Meta is seeking a Research Scientist 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 researchers with expertise in video generation and post-training of large-scale models to help build the perceptual and generative foundations for next-generation AI systems. This role 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. ## 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, improving their performance, robustness, and generalization - Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI Contribute to the development and deployment of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation ## Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field - Demonstrated expertise in video generation, computer vision, or multimodal AI Experience with large-scale model training, post-training optimization techniques, and data curation Publication record in relevant fields - 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 - 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 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 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: Menlo Park, CA +2 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1647169276484472/) ## More jobs at Meta Platforms ### [AI Research Scientist - MSL FAIR Alignment](https://jobs.opennash.com/companies/meta-platforms/jobs/cbed3710827e605262d9/) Menlo Park, CA +2 more ### [Research Scientist, Demography and Survey Sciences](https://jobs.opennash.com/companies/meta-platforms/jobs/958c5046cf626c2e3ab3/) Menlo Park, CA +2 more ### [Business Development Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/5aadede51f42b9e2c13d/) Menlo Park, CA +2 more ### [Data Engineer Intern, Product Analytics (Summer 2027)](https://jobs.opennash.com/companies/meta-platforms/jobs/41f3a52937130c08e680/) Menlo Park, CA +2 more ### [Partner Engineer, Wearables](https://jobs.opennash.com/companies/meta-platforms/jobs/10d8268f83cf8e281369/) Menlo Park, CA +2 more ## 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 ### [Senior Applied Scientist, Prime Video - Compression Efficiency Research Team](https://jobs.opennash.com/companies/amazon/jobs/18cf5bbcb9bcf98c4806/) Amazon · US, WA, Seattle ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [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 [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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