ResearchFellowshipCareers

Memories.ai Research Fellowship Summer 2026

Applications open for the Memories.ai Research Fellowship — a 12-week intensive program for researchers building the future of visual AI. Remote-friendly. June 1 – August 30, 2026.

Memories.ai Research Fellowship Summer 2026

Applications Open · June–August 2026 · 12 Weeks · Remote-Friendly

Build the Future of Visual AI With Us

Every major lab is racing to improve language models. We're building something different.

At Memories.ai, we've created the world's first Large Visual Memory Model (LVMM) — AI infrastructure that can process, understand, and remember video at scale. Think of it as long-term memory for machines, but for everything they see.

This summer, we're inviting a small group of ambitious researchers to join us and push the boundaries of what's possible in visual AI.

What Is the Research Fellowship?

The Memories.ai Research Fellowship is a 12-week intensive research program (running from June 1 – August 30, 2026) for PhD students, Master's students, and early-career researchers working in computer vision, NLP, multimodal AI, or data systems.

You won't be shadowing anyone or working on side projects. You'll be embedded with the Memories.ai research team, tackling real, unsolved problems at the frontier of video intelligence and memory systems.

We're selecting 5–8 fellows for Summer 2026.

What You'll Work On

Our research spans some of the most exciting and challenging areas in AI today:

Egocentric Video Understanding

First-person perspective modeling: teaching AI to understand the world as humans experience it, from wearable cameras and AR devices.

Large Visual Memory Models (LVMM)

Our flagship research direction: building architectures that give AI systems 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 representations.

Data Infrastructure at Scale

Scalable pipelines for processing, indexing, and retrieving massive video datasets — the unglamorous backbone that makes everything else possible.

What You'll Get

We don't just offer a research topic and wish you luck. We give you everything you need to do world-class work.

  • Unlimited Cloud Compute — Full access to AWS and GCP compute credits. No rationing GPU hours. Train the models you need to train.
  • State-of-the-Art GPU Clusters — Access to our dedicated infrastructure for large-scale model training and experimentation.
  • Proprietary Datasets — Work with Memories.ai's proprietary video datasets and memory architectures — data you won't find anywhere else.
  • 1:1 Mentorship — Weekly one-on-one sessions with senior researchers on the Memories.ai team offering dedicated, personalized mentorship.
  • Access to World-Class Advisors — Connect with industry experts and academic collaborators across our research network.
  • Publication Support — We actively support fellows in publishing at top-tier venues: ICLR, NeurIPS, CVPR, and more. Your research here can go on your CV.
  • Visa Sponsorship — The fellowship is remote-friendly, but international applicants are welcome. We provide visa sponsorship and immigration support so the best researchers can join regardless of location.

Who Should Apply?

This fellowship is designed for researchers who:

  • Are currently pursuing a PhD or Master's degree (or recently completed one) in computer science, AI/ML, or a related field
  • Have hands-on experience with deep learning frameworks (PyTorch, JAX, etc.)
  • Have published or are working toward publications in relevant venues
  • Are excited about video understanding, multimodal AI, or large-scale data systems
  • Move fast, think deeply, and want to work on problems that haven't been solved yet

We value intellectual curiosity and builder mentality over pedigree. If you're doing interesting work — no matter where — we want to hear from you.

Program Details

  • Duration: 12 weeks (June 1 – August 30, 2026)
  • Cohort Size: 5–8 fellows
  • Format: Remote-friendly (with optional in-person collaboration)
  • Final Presentations: August 25–30, 2026

How to Apply

Ready to build the future of visual AI?

Fill out the application form. We'll review applications on a rolling basis.

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

About Memories.ai

Memories.ai is building the infrastructure for machines to remember what they see. Our team is working on the Large Visual Memory Model — a new class of AI system that processes, understands, and retrieves video at scale. We're a research-first company backed by a team of world-class engineers and scientists who believe the next frontier of AI isn't just language — it's vision, memory, and multimodal understanding.

Learn more at memories.ai.