Memories.ai 2026 Fall Research Fellowship | Remote Visual AI Research Opportunity with $1,000 Monthly Stipend

Memories.ai is inviting applications for its 2026 Fall Research Fellowship, an intensive 12-week research programme designed for emerging researchers working in artificial intelligence, computer vision, multimodal AI, and large-scale data systems.

The fellowship offers early-career AI researchers the opportunity to work directly with the Memories.ai research team on cutting-edge challenges in visual intelligence and AI memory systems.

Selected fellows will receive research mentorship, access to advanced AI infrastructure, opportunities for publication, and a $1,000 monthly stipend during the programme.

Programme: Memories.ai 2026 Fall Research Fellowship
Duration: September–November 2026 (12 weeks)
Format: Remote-friendly with optional in-person collaboration
Cohort Size: 5–8 fellows
Stipend: $1,000 per month

About Memories.ai and the Fellowship

Memories.ai is a Silicon Valley AI company focused on developing next-generation visual intelligence technologies.

While much of the AI industry has focused on advancing language models, Memories.ai is developing a different approach through its Large Visual Memory Model (LVMM) technology — an AI infrastructure designed to help machines process, understand, and remember video content at scale.

The 2026 Fall Research Fellowship provides a platform for talented researchers to contribute to groundbreaking work in visual AI and explore challenges that remain unsolved in the field.

The programme is designed for individuals who want hands-on research experience rather than traditional internship-style learning. Fellows will become part of the research team and contribute to real-world AI projects.

Who Should Apply?

The fellowship is ideal for researchers who are passionate about advancing artificial intelligence and developing new solutions in visual computing.

Applicants should:

• Be currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Alternatively, have recently completed a Bachelor’s degree in a relevant discipline.
• Have practical experience using deep learning frameworks such as PyTorch or JAX.
• Have published research or be working towards publications.
• Demonstrate interest in video understanding, multimodal AI, or large-scale data systems.
• Possess strong problem-solving skills and curiosity for exploring new technologies.

Memories.ai encourages applications from researchers with strong technical ability and a builder mindset, regardless of academic background or institution.

Research Areas Available

Fellows will work on advanced AI research topics including:

Egocentric Video Understanding

Researchers will explore first-person perspective modelling, helping AI systems understand environments through wearable cameras and augmented reality devices.

Large Visual Memory Models (LVMM)

This flagship research area focuses on building AI architectures capable of maintaining persistent and searchable visual memory over long periods.

Real-Time Video Intelligence

Projects will explore edge AI technologies and streaming inference systems capable of processing live video with minimal delay.

Multimodal Memory Systems

Researchers will investigate how AI can connect visual, audio, and text information into unified memory representations.

Large-Scale Data Infrastructure

Fellows will contribute to systems that process, organise, index, and retrieve massive video datasets — the foundation behind advanced AI applications.

Benefits of the Research Fellowship

Memories.ai provides selected fellows with resources designed to support high-quality research.

Benefits include:

Access to Advanced Computing Infrastructure

Fellows will receive access to dedicated GPU clusters for large-scale AI model training and experimentation.

Research Mentorship

Participants will receive weekly one-on-one mentorship from experienced researchers, including former industry scientists from leading technology organisations.

Proprietary AI Datasets

Researchers will work with specialised video datasets and AI memory architectures unavailable in public research environments.

Publication Support

The programme supports fellows interested in publishing research at leading AI conferences, including:

• NeurIPS
• ICLR
• CVPR

Successful research projects may contribute to fellows’ academic and professional portfolios.

International Participation and Visa Support

The fellowship is remote-friendly and welcomes international applicants. Memories.ai provides visa sponsorship and immigration support for selected researchers who need assistance joining the programme.

Programme Timeline

The 2026 Fall Research Fellowship will run for 12 weeks.

Key dates:

• September 2026: Fellowship begins.
• September–November 2026: Research projects and mentorship activities.
• November 2026: Final research presentations.

The programme will select a small cohort of 5–8 fellows to ensure close collaboration and meaningful research engagement.

How to Apply

Interested candidates can apply through the Memories.ai Research Fellowship application form.

Applicants should be prepared to demonstrate:

• Academic background and technical experience.
• Research interests.
• Previous AI or machine learning projects.
• Publications or research contributions where applicable.

For questions regarding the fellowship, applicants can contact:

Email: Lily.x@memories.ai

Why Apply?

The Memories.ai Research Fellowship offers an opportunity for emerging AI researchers to work on some of the most challenging problems in visual intelligence.

With access to advanced computing resources, expert mentorship, research datasets, and publication opportunities, the programme provides a strong pathway for researchers interested in shaping the future of AI systems that can see, understand, and remember.

Application Period: 2026 Fall Research Fellowship

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Disclaimer: Remote Job Opportunities (RJO) is not the  organization offering this opportunity. For any inquiries, please contact the responsible organization directly. Please do not send your applications to RJO, as we are unable to process them. Due to the high volume of  emails we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.