Applications are now open for the Memories.ai 2026 Fall Research Fellowship, a 12-week paid research programme designed for Master’s students and early-career researchers working in computer vision, multimodal artificial intelligence, video understanding, and large-scale AI systems. The fellowship offers participants the opportunity to collaborate directly with the Silicon Valley-based AI company’s research team, contributing to cutting-edge projects focused on visual intelligence and multimodal memory systems. Running from September through November 2026, the programme combines advanced research, personalized mentorship, high-performance computing resources, and publication support. Memories.ai will select 5 to 8 fellows for the Fall 2026 cohort, with successful applicants receiving a $1,000 monthly stipend, access to dedicated GPU infrastructure, and opportunities to publish research at leading international AI conferences. About the Memories.ai Research Fellowship The Memories.ai Research Fellowship is designed as an intensive collaborative research experience rather than a traditional internship. Fellows work alongside senior AI researchers to tackle open research challenges in next-generation visual intelligence. Participants become integrated members of the research team, contributing to projects that aim to improve how artificial intelligence processes, understands, stores, and retrieves visual information over extended periods. The programme is fully remote-friendly, while also offering optional in-person collaboration opportunities. International applicants are encouraged to apply, with visa sponsorship available where required. Fellowship Benefits Selected fellows receive extensive academic, technical, and professional support throughout the 12-week programme. Key benefits include: A $1,000 monthly stipend Twelve weeks of paid research experience Remote participation with optional in-person collaboration Access to dedicated GPU clusters for large-scale model training AWS and Google Cloud computing resources Proprietary video datasets unavailable to the public Weekly one-on-one mentorship from senior researchers, including former Meta Research Scientists Publication guidance and support for leading AI conferences Access to Memories.ai’s global research network Visa sponsorship for eligible international participants The fellowship concludes with research presentations scheduled for November 2026. Research Areas Fellows will contribute to one or more active research areas driving the company’s long-term AI vision. Research topics include: Egocentric video understanding Large Visual Memory Models (LVMM) Real-time video intelligence Multimodal memory systems Large-scale data infrastructure These projects explore how AI systems can understand continuous video streams, integrate visual and language information, process real-time environments, and develop persistent memory for long-duration video analysis. Advancing Large Visual Memory Models A central focus of the fellowship is Memories.ai’s development of Large Visual Memory Models (LVMMs). Unlike conventional computer vision systems that analyse individual images or short video clips, LVMMs are designed to retain long-term visual memory. These systems allow AI to remember previously observed scenes, locations, objects, and events, making visual information searchable and retrievable over time. The technology has potential applications across numerous industries, including: Robotics Security and surveillance Smart cities Manufacturing Autonomous systems Media analytics Enterprise video intelligence The fellowship provides researchers with an opportunity to contribute directly to one of the company’s flagship research initiatives. Published Research Contributions Memories.ai has produced several notable research projects that demonstrate its leadership in visual AI. These include: SpatialMem, a spatial memory system that creates searchable 3D representations from standard video O-MARC, an omnimodal compression framework improving inference speed and efficiency OmniRetriever, a unified audio, video, and text retrieval model MARC, a metric-aligned video representation model for structured scene understanding Fellows may contribute to expanding these research directions or help develop entirely new approaches within the company’s visual AI ecosystem. Eligibility Criteria The fellowship welcomes applications from talented researchers with demonstrated interest in advanced artificial intelligence research. Eligible applicants include: Master’s students in Computer Science, Artificial Intelligence, Machine Learning, or related disciplines Early-career researchers who have recently completed a Bachelor’s degree Individuals with practical experience using deep learning frameworks such as PyTorch, JAX, or similar platforms Researchers with publications or active research projects Applicants interested in computer vision, multimodal AI, video understanding, or large-scale AI infrastructure The company emphasises that selection is based primarily on research ability, technical skills, and intellectual curiosity rather than institutional background. Publication and Career Development One of the programme’s major strengths is its emphasis on research publication. Throughout the fellowship, participants receive support preparing papers for internationally recognised conferences, including: CVPR NeurIPS ICLR Other leading artificial intelligence research venues Researchers also benefit from networking opportunities with academic collaborators and industry experts, helping strengthen future career prospects in AI research. Application Timeline The 2026 Fall Research Fellowship will run from September to November 2026. Successful applicants will join a highly selective cohort of 5 to 8 researchers, collaborating on frontier AI research while receiving mentorship and access to advanced computational resources. Master’s students and early-career researchers interested in shaping the future of computer vision and multimodal artificial intelligence are encouraged to submit their applications through the official Memories.ai application portal. VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.