Applications are now being accepted for Memories.ai 2026 Fall Research Fellowshipa 12-week paid research program designed for master’s students and early-career researchers working on computer vision, multimodal artificial intelligence, video understanding, and large-scale AI systems.
This fellowship provides participants with the opportunity to work directly with a research team at a Silicon Valley-based AI company, contributing to cutting-edge projects focused on visual intelligence and multimodal memory systems. run away from From September to November 2026this program combines advanced research, personalized instruction, high-performance computing resources, and publication support.
Memories.ai chooses 5 to 8 friends For the Fall 2026 cohort, successful applicants will receive prizes. Monthly salary of $1,000access to dedicated GPU infrastructure, and the opportunity to present research at major international AI conferences.
About Memories.ai Research Fellowship
The Memories.ai Research Fellowship is designed as an intensive collaborative research experience rather than a traditional internship. Fellows will collaborate with senior AI researchers to address open research questions in the next generation of visual intelligence.
Participants will be integrated members of a research team and contribute to a project that aims to improve the way artificial intelligence processes, understands, stores, and retrieves visual information over long periods of time.
program is completely completed remote friendlywhich also provides opportunities for optional in-person collaboration. International applicants are encouraged to apply and visa sponsorship is available if required.
Fellowship benefits
Selected fellows will receive extensive academic, technical, and professional support throughout the 12-week program.
The main benefits are:
- a Monthly salary of $1,000
- 12 weeks of paid research experience
- Remote participation (optional in-person collaboration)
- Access to dedicated GPU clusters for training large models
- AWS and Google Cloud computing resources
- Proprietary video datasets are not publicly available
- Weekly one-on-one coaching from senior researchers, including former meta-research scientists
- Publication guidance and support for major AI conferences
- Access to Memories.ai’s global research network
- Visa sponsorship for eligible foreign participants
This fellowship will conclude with a planned research publication. November 2026.
Research field
Fellows will contribute to one or more active research areas that advance the company’s long-term AI vision.
Research themes include:
- Self-centered video understanding
- Large-Scale Visual Memory Model (LVMM)
- real-time video intelligence
- multimodal memory system
- Large-scale data infrastructure
These projects investigate how AI systems can understand continuous video streams, integrate visual and linguistic information, process real-time environments, and develop persistent memory for long-term video analysis.
Advances in large-scale visual memory models
The core focus of this fellowship is the development of Memories.ai. Large-Scale Visual Memory Model (LVMM).
Unlike traditional computer vision systems that analyze individual images or short video clips, LVMM is designed to maintain long-term visual memory. These systems allow AI to remember previously observed scenes, locations, objects, and events, allowing it to search and retrieve visual information over time.
This technology has potential applications in a variety of industries, including:
- robotics
- security and surveillance
- smart city
- manufacturing industry
- autonomous system
- media analysis
- enterprise video intelligence
This fellowship provides researchers with the opportunity to directly contribute to one of the company’s flagship research initiatives.
Published research contributions
Memories.ai has produced several notable research projects demonstrating leadership in visual AI.
These include:
- spatial memorya spatial memory system that creates searchable 3D representations from standard videos.
- O-MARCan omnimodal compression framework that improves inference speed and efficiency
- omni retrieverintegrated audio, video and text search model
- Marca metric-aligned video representation model for understanding structured scenes.
Fellows may contribute to expanding these research directions or help develop entirely new approaches within the company’s visual AI ecosystem.
Eligibility criteria
This fellowship welcomes applications from talented researchers who have expressed an interest in advanced artificial intelligence research.
Eligible applicants are:
- Master’s students in computer science, artificial intelligence, machine learning, or related fields
- Young researchers who have just received their bachelor’s degree
- Individuals with work experience using deep learning frameworks such as PyTorch, JAX, or similar platforms
- Researchers with published publications or active research projects
- Applicants interested in computer vision, multimodal AI, video understanding, or large-scale AI infrastructure
The company emphasizes that selection is based primarily on research ability, technical skills and intellectual curiosity, rather than organizational background.
Publishing and career development
One of the program’s great strengths is its emphasis on research publication.
Through the fellowship, participants receive support in preparing papers for internationally recognized conferences. This includes:
- CVPR
- NeurIPS
- ICLR
- Other major artificial intelligence research facilities
Researchers will also benefit from opportunities to network with academic collaborators and industry experts, helping to strengthen future career prospects in AI research.
Application timeline
of Fall 2026 Research Fellowship run away from From September to November 2026.
Successful applicants will join a highly selective group. 5-8 researcherscollaborate on cutting-edge 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.
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Disclaimer: Global South Opportunities (GSO) is not the organization providing this opportunity. For inquiries, please contact the official organization directly. Please do not submit your application or resume to GSO as it cannot be processed by GSO. Due to the large volume of emails we receive every day, we may not be able to reply to all inquiries. Thank you for your understanding.
