Memories.ai · 2026 Fall Research Fellowship

Build the future of visual AI with us. Join the researchers teaching machines to see, remember, and understand.

A 12-week fellowship for Master’s students and early-career researchers, embedded with our team on the world’s first Large Visual Memory Model.

Apply now Read our research

The fellowship

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. You won’t shadow anyone or work on side projects — you’ll be embedded with our research team on real, unsolved problems. We’re selecting 5–8 fellows for Fall 2026.

Duration

12 weeks · Sep–Nov 2026

Cohort size

5–8 fellows

Format

Remote-friendly, optional in-person

Final presentations

November 2026

Who should apply

Who we’re looking for

Currently pursuing a Master’s in computer science, AI/ML, or a related field — or a recent Bachelor’s graduate.

Hands-on experience with deep learning frameworks such as PyTorch or JAX.

Published, or working toward publications, in relevant venues.

Excited about video understanding, multimodal AI, or large-scale data systems.

You move fast, think deeply, and want to work on problems that haven’t been solved yet.

We value intellectual curiosity and a builder mentality over pedigree. If you’re doing interesting work — wherever you are — we want to hear from you.

What you’ll work on

Research at the frontier

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.

What you’ll get

Everything you need to do world-class work

Unlimited cloud compute

Full AWS and GCP credits. No rationing GPU hours — train the models you need to train.

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.

Publication support

We actively help fellows publish at top venues: ICLR, NeurIPS, CVPR, and more.

$1,000/month stipend

A monthly stipend to support your research work throughout the program.

Visa sponsorship

Remote-friendly and open to international applicants, with immigration support.

How to apply

Ready to build with us?

Applications are open now. Submit the form and tell us about the work you’re most proud of — we review on a rolling basis until the cohort is full.

Apply now Email us a question

Questions? Reach out to us at [email protected].

Frequently asked questions

Who can apply?

Master's students in computer science, AI/ML, or related fields, and recent Bachelor's graduates, with hands-on deep-learning experience. We value curiosity and a builder mentality over pedigree.

Is the fellowship paid?

Yes. Fellows receive a $1,000/month stipend for the 12 weeks, plus unlimited cloud compute and GPU cluster access.

Is it remote?

It's remote-friendly, with optional in-person collaboration. International applicants are welcome, and we provide visa sponsorship and immigration support.