Memories.ai is a Silicon Valley-based company developing the world's first Large Visual Memory Model (LVMM)—an AI architecture designed to process, understand and retain visual information over extended periods. Unlike conventional vision models that analyse individual images or short video clips, LVMM technology aims to create persistent, searchable visual memory that can support AI systems operating in real-world environments.
About the Fellowship
The 12-week paid programme is designed for Master's students and early-career researchers interested in advancing research in computer vision, multimodal artificial intelligence (AI), and video understanding. Running from September to November 2026, the fellowship will select between five and eight researchers who will work directly with the company's research team on cutting-edge projects focused on visual AI.
Master's students & early-career researchers in Visual AI
What is the duration?
12 weeks (September – November 2026)
What is the stipend?
$1,000/month
Is this remote?
Yes, remote-friendly with optional in-person
Is visa sponsorship available?
Yes, for international applicants
What research areas are covered?
Computer vision, multimodal AI, video understanding, LVMM
What frameworks are needed?
PyTorch or JAX experience
What is the deadline?
July 29, 2026
CareerFlora Expert Insight
The Memories.ai Fall Research Fellowship offers an excellent opportunity for Master's students and early-career researchers to gain hands-on experience in cutting-edge visual AI research. The $1,000/month stipend, access to proprietary datasets and GPU clusters, and publication support at top conferences (CVPR, NeurIPS, ICLR) make this a valuable career-building opportunity. The remote-friendly format and visa sponsorship make it accessible to international applicants. Competition is expected to be high. Candidates with strong PyTorch/JAX skills and research potential will be competitive.
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