Memories.ai Fall Research Fellowship 2026: Fully Funded Paid AI Research Fellowship for Master’s Students and Early-Career Researchers ·Career Researchers

Artificial Intelligence is advancing at an unprecedented pace, creating exciting opportunities for emerging researchers to contribute to groundbreaking innovations. One such opportunity is the Memories.ai Fall Research Fellowship 2026, a prestigious 12-week paid research fellowship designed for Master’s students and early-career researchers passionate about computer vision, multimodal artificial intelligence, video understanding, and large-scale AI systems.

Applications are now open for this highly competitive fellowship, which offers participants the chance to work alongside the research team at Memories.ai, a Silicon Valley AI company developing the world’s first Large Visual Memory Model (LVMM). Selected fellows will receive a monthly stipend, mentorship from experienced AI researchers, access to advanced GPU infrastructure, proprietary datasets, publication support, and opportunities to contribute to cutting-edge AI research.

With only 5 to 8 fellows selected worldwide, this fellowship represents an exceptional opportunity for aspiring AI researchers looking to build their research careers while working on real-world challenges at the forefront of artificial intelligence.

About the Memories.ai Fall Research Fellowship 2026

The Memories.ai Fall Research Fellowship is a 12-week intensive research program that runs from September to November 2026.

Unlike conventional internships that primarily involve completing assigned tasks, this fellowship treats participants as genuine research collaborators. Fellows become embedded within the Memories.ai research team, working directly on open research challenges that have the potential to shape the future of visual artificial intelligence.

Throughout the fellowship, participants receive:

• Weekly one-on-one mentorship
• Access to enterprise-grade computing resources
• Proprietary research datasets
• Research publication support
• Opportunities to collaborate with leading AI researchers
• Exposure to real-world research problems in visual AI

The program concludes with research presentations in November 2026, allowing fellows to showcase their findings and contributions.

Fellowship Overview

About Memories.ai

Memories.ai is a Silicon Valley-based artificial intelligence company focused on solving one of AI’s most challenging problems: enabling machines to remember visual information over extended periods.

Rather than simply recognizing objects in individual images or short videos, Memories.ai is building technology that allows AI systems to retain structured visual memories that can later be searched, queried, and analyzed.

This technology forms the foundation of the company’s Large Visual Memory Model (LVMM).

The research conducted at Memories.ai aims to support future AI systems capable of:

• Remembering what they have previously observed
• Understanding long-duration video content
• Answering questions based on accumulated visual memories
• Supporting autonomous AI agents operating in real-world environments

What is the Large Visual Memory Model (LVMM)?

The Large Visual Memory Model (LVMM) represents Memories.ai’s flagship research initiative.

Traditional computer vision systems typically analyze individual frames or short video clips independently. In contrast, an LVMM enables AI systems to:

• Process continuous video streams
• Build persistent memories from visual observations
• Retrieve past visual information on demand
• Understand spatial and temporal relationships
• Perform long-term reasoning over visual experiences

This technology has the potential to transform industries including robotics, autonomous systems, security, manufacturing, augmented reality, and intelligent assistants.

Research Areas

Selected fellows will work across one or more of five major research themes.

1. Egocentric Video Understanding

Researchers will explore AI systems that interpret the world from a first-person perspective using wearable cameras and augmented reality devices.

Projects focus on:

• Continuous video understanding
• Human-centered perception
• Long-term temporal reasoning
• First-person visual experiences

2. Large Visual Memory Models (LVMM)

Participants will contribute directly to Memories.ai’s primary research direction.

Areas include:

• Persistent visual memory
• Long-term scene understanding
• Retrieval systems
• Memory-based AI architectures
• Real-time visual reasoning

3. Real-Time Video Intelligence

This research area focuses on processing live video streams with extremely low latency.

Applications include:

• Smart surveillance
• Industrial automation
• Manufacturing
• Operations monitoring
• Intelligent infrastructure

4. Multimodal Memory Systems

Researchers develop systems capable of integrating:

• Video
• Audio
• Text
• Cross-modal reasoning
• Retrieval-Augmented Generation (RAG)

These systems help AI understand multiple forms of information simultaneously.

5. Data Infrastructure at Scale

Participants interested in large-scale AI infrastructure may work on:

• Massive video datasets
• Data indexing
• Distributed processing
• Retrieval systems
• Scalable AI pipelines

Previous Research Achievements

Memories.ai has already produced several notable research projects, including:

• SpatialMem – A spatial memory system for creating searchable 3D maps from RGB video.
• O-MARC – A framework that improves multimodal inference speed by over 34% while reducing memory usage.
• OmniRetriever – A unified retrieval model integrating audio, video, and text.
• MARC – A metric-aligned representation system for structured scene understanding.

Fellows may have opportunities to build upon or contribute to similar groundbreaking research projects.

Fellowship Benefits

The Memories.ai Research Fellowship offers numerous benefits beyond financial support.

Monthly Stipend

Each fellow receives:

• USD $1,000 per month
• Financial support throughout the 12-week fellowship

Unlimited Cloud Computing

Participants gain access to:

• AWS cloud compute credits
• Google Cloud Platform (GCP) resources
• Large-scale AI training infrastructure

Dedicated GPU Access

Researchers receive access to dedicated GPU clusters for training sophisticated AI models without restrictions on computing time.

Proprietary Datasets

Fellows work with exclusive internal datasets that are unavailable to the wider research community.

Personalized Mentorship

Participants receive weekly one-on-one mentoring from senior AI researchers, including former Meta Research Scientists.

Research Publication Support

The fellowship actively supports publication at prestigious conferences, including:

• CVPR
• NeurIPS
• ICLR
• Other leading AI conferences

Support includes:

• Paper preparation
• Submission guidance
• Co-authorship mentoring
• Research networking

International Opportunities

International applicants benefit from:

• Visa sponsorship
• Immigration support
• Remote participation options
• Optional in-person collaboration

Who Should Apply?

The fellowship is ideal for individuals who are passionate about advancing artificial intelligence research.

Eligible applicants include:

• Master’s students in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Recent Bachelor’s degree graduates pursuing research careers.
• Early-career AI researchers.
• Individuals with experience using PyTorch, JAX, or equivalent deep learning frameworks.
• Applicants with research publications or active research projects.
• Researchers interested in computer vision, multimodal AI, video understanding, egocentric vision, or data infrastructure.

Importantly, Memories.ai emphasizes that applicants are evaluated based on research ability and intellectual curiosity rather than institutional prestige, encouraging talented researchers from all institutions to apply.

Why This Fellowship Stands Out

The Memories.ai Fall Research Fellowship distinguishes itself by offering:

• Direct collaboration with an industry-leading AI research team.
• Real research ownership rather than routine internship tasks.
• Access to world-class computing resources.
• Opportunities to publish research in top-tier conferences.
• Personalized mentorship from experienced researchers.
• A fully remote-friendly structure with optional in-person collaboration.
• International accessibility through visa sponsorship.

These features make it an outstanding opportunity for aspiring AI researchers seeking meaningful research experience.

How to Apply

Interested applicants should submit their applications through the official Memories.ai application portal.

Applicants with questions about the fellowship may contact:

Email: Lily.x@memories.ai

The company encourages Master’s students and early-career researchers interested in visual AI to apply.

APPLY NOW

Application Deadline

At the time of publication, no specific application deadline has been announced. Interested candidates are encouraged to apply as early as possible, as only 5–8 fellows will be selected for the Fall 2026 cohort.

Conclusion

The Memories.ai Fall Research Fellowship 2026 offers an exceptional opportunity for aspiring AI researchers to engage in pioneering work on computer vision, multimodal AI, and Large Visual Memory Models. With generous research support, access to advanced infrastructure, personalized mentorship, publication opportunities, and a monthly stipend, the fellowship provides an ideal environment for developing both technical expertise and academic research credentials.

For Master’s students and early-career researchers eager to contribute to the next generation of artificial intelligence, this fellowship represents a valuable stepping stone toward a successful research career. Prospective applicants are encouraged to prepare their applications early and take advantage of this unique opportunity to work alongside one of Silicon Valley’s innovative AI research teams.

For more Fellowship opportunities, visit the OFY website here.