2026 Research Fellowship.
Our Fall 2026 cohort is spending 12 weeks embedded with our research team, working on the world’s first Large Visual Memory Model.
Meet the researchers teaching machines to see, remember, and understand.
A 12-week sprint at the
frontier of visual AI
The Memories.ai Research Fellowship is a 12-week intensive program for Master’s students and early-career researchers in computer vision, NLP, multimodal AI, and data systems. Fellows don’t shadow anyone or work on side projects — they’re embedded with our research team on real, unsolved problems from September to November 2026.
Duration
12 weeks · Sep–Nov 2026
Cohort size
5–8 fellows
Format
Remote-friendly, optional in-person
Final presentations
November 2026
What’s involved
Embedded research: fellows join our team on open, unsolved problems — not side projects.
Weekly 1:1 mentorship with senior researchers, including former Meta Research Scientists.
Focused work across our five research tracks, from egocentric video understanding to large visual memory models.
Hands-on support to publish at top venues such as ICLR, NeurIPS, and CVPR.
Remote-friendly, with optional in-person collaboration with the team.
Final presentations in November 2026, where each fellow shares the research they’ve built with us.
Our research tracks
Egocentric Video Understanding
First-person modeling: teaching AI to understand the world as humans experience it, from wearables and AR devices.
Large Visual Memory Models
Our flagship direction: architectures that give AI persistent, retrievable visual memory across long time horizons.
Real-Time Video Intelligence
Edge AI and streaming inference: processing live video feeds with low latency for real-world applications.
Multimodal Memory Systems
Cross-modal retrieval and reasoning: connecting what AI sees, hears, and reads into unified memory.
Data Infrastructure at Scale
Scalable pipelines to process, index, and retrieve massive video datasets — the backbone behind everything else.
Meet the cohort
The Fall 2026 Research Fellows, working with our team from September to November.
What fellows get
State-of-the-art GPU clusters
Access to dedicated infrastructure for large-scale model training and experimentation.
Proprietary datasets
Work with Memories.ai video datasets and memory architectures you won’t find anywhere else.
1:1 mentorship
Weekly sessions with senior researchers, including former Meta Research Scientists.
World-class advisors
Access to industry experts and academic collaborators across our research network.