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Memories.ai Research Fellowship 2026 in USA | Fully Funded

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Closes Jul 31, 2026 · 11 days left
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Application opens on the official site (memories.ai). Scholarship Union does not collect applications.

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Fellowship Summary
Country
USA
Duration
12-week
Benefit
Fully Funded

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The Memories.ai Research Fellowship 2026 in USA is a 12-week paid research program for Master’s students and early-career researchers working at the frontier of visual AI. Fellows are embedded with the Memories.ai research team from September through November 2026, working on unsolved problems in video understanding, multimodal memory, and real-time video intelligence with full access to GPU infrastructure, proprietary datasets, and 1:1 mentorship.

Memories.ai is a Silicon Valley AI company building the world’s first Large Visual Memory Model (LVMM). The company’s core research direction focuses on giving AI systems persistent, structured memory for everything they see. Published research includes SpatialMem, O-MARC, OmniRetriever, and MARC. The fellowship serves as the entry point for researchers who want to contribute directly to this research program.

Memories.ai Research Fellowship Benefits

  • $1,000/month stipend for the duration of the program
  • Unlimited cloud compute with full access to AWS and GCP compute credits
  • Dedicated GPU cluster access for large-scale model training and experimentation
  • Proprietary datasets from Memories.ai’s internal video datasets and memory architectures
  • 1:1 mentorship with weekly one-on-one sessions with senior researchers including former Meta Research Scientists
  • Research network access to industry experts and academic collaborators
  • Publication support for submitting work to top-tier venues like CVPR, NeurIPS, ICLR
  • Visa sponsorship and immigration support for international applicants

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Memories.ai Research Fellowship Eligibility Criteria

  • Master’s students in computer science, AI/ML, or a related field, or researchers who have recently completed a Bachelor’s degree
  • Researchers with hands-on experience with deep learning frameworks — PyTorch, JAX, or equivalent
  • Researchers who have published or are actively working toward publication at relevant venues
  • Anyone with genuine interest in video understanding, multimodal AI, egocentric vision, or large-scale data systems

How to Apply for Memories.ai Research Fellowship?

  1. Apply via the application form at https://forms.gle/HaxBG5hDRa9hkUjJA
  2. For any questions, reach out to [email protected]

Frequently Asked Questions (FAQs)

Here are the most frequently asked questions about the Memories.ai Research Fellowship. These answers cover eligibility, benefits, deadlines, and how to apply.

What is the Memories.ai Research Fellowship?

It is a 12-week paid research program for Master’s students and early-career researchers in computer vision, multimodal AI, video understanding, and data systems. Fellows work directly with the Memories.ai research team on open problems in visual AI, with access to GPU infrastructure, proprietary datasets, mentorship, and publication support. 5 to 8 fellows are selected per cohort.

When does the fellowship run?

The 2026 Fall Fellowship runs September through November 2026, culminating in final research presentations in November.

What is the stipend?

Fellows receive $1,000 per month for the 12-week duration of the program.

Is the fellowship remote?

Yes. The fellowship is remote-friendly. Optional in-person collaboration is available for fellows who want it.

Are international applicants eligible?

Yes. Memories.ai provides visa sponsorship and immigration support for international applicants.

What is a Large Visual Memory Model (LVMM)?

An LVMM is an AI architecture that can process, understand, and remember video at scale across long time horizons — maintaining persistent, retrievable visual memory rather than analyzing individual frames or clips in isolation. It is Memories.ai’s core research direction and the system fellows contribute to during the fellowship.

What research areas can fellows work in?

Fellows work in one or more of five areas: egocentric video understanding, Large Visual Memory Models, real-time video intelligence, multimodal memory systems, and data infrastructure at scale.

Do fellows get to publish their work?

Yes. Memories.ai actively supports fellows in publishing at top-tier venues including CVPR, NeurIPS, and ICLR. Publication support — including co-authorship guidance, submission preparation, and research network introductions — is part of the program.

What is the cohort size?

5 to 8 fellows are selected for each cohort.

Who mentors fellows?

Fellows receive weekly 1:1 mentorship from senior researchers on the Memories.ai team, including former Meta Research Scientists.


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Joined Feb 3, 2026
Published
Updated Jul 19, 2026
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