Careers

Build the future
of visual memory

We are a small team solving large problems. If you want to work on foundational AI infrastructure with people who publish at ICLR and ship to millions of devices, we want to hear from you.

How we work

Careers

001

Research Meets Product

We do not separate research from engineering. 
The same team that publishes papers builds the production systems.

Careers

002

Small Team, Large Impact

Our infrastructure reaches 100M+ devices. We achieve this with a focused team that values clarity of thought and quality of execution over headcount.

Careers

003

Remote-First

Our team spans San Francisco, London, and Asia. We optimize for deep work and asynchronous collaboration, with regular in-person offsites to build relationships.

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Research Scientist - Video Understanding

focus
Multimodal models, temporal reasoning, video representation learning
Location
San Francisco / Remote
Salary
$28K

About the role

Visual memory is a research field, not a product feature. We are hiring a research scientist to push the boundaries of how machines see, remember, and reason across time. You will work on the core models that power our platform, from multimodal representation learning to long-horizon temporal reasoning, and publish openly with the rest of the team.

What you'll work on

.Long-context video understanding, beyond the minute-scale limits of current foundation models. New methods for multimodal embedding across video, audio, and language. Temporal reasoning systems that connect events, objects, and people across hours or years of footage. Open research that ships into production, used by enterprises operating at scale.

You will work closely with our engineering teams to take research from paper to deployment, and with our partners at NVIDIA, Samsung, Lenovo, and others on real-world problems no one has solved yet.

What we're looking for

PhD in computer vision, machine learning, or a related field, or equivalent industry research experience. A track record of publications at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR). Strong fundamentals in multimodal learning, video representation, or temporal modeling. Comfort with large-scale training infrastructure. A taste for problems that matter outside the lab.

What we offer

Compensation calibrated to top-tier research labs, including meaningful equity. Full benefits, health, dental, vision, mental health support. Conference and publication budget, no caps on conferences attended. Remote-first with quarterly team gatherings in San Francisco. The chance to build a research field, not just contribute to one.

About Memories.ai

We are building the memory layer for visual AI. Our infrastructure runs inside products from NVIDIA, Vivo, Comcast, and Ring, and our research is shaping how the next generation of AI systems remember the real world. Founded by a Cambridge PhD with twenty-eight publications, backed by world-class investors, and partnered with the companies defining frontier AI.

We are building the memory layer for visual AI. Our infrastructure runs inside products from NVIDIA, Vivo, Comcast, and Ring, and our research is shaping how the next generation of AI systems remember the real world. Founded by a Cambridge PhD with twenty-eight publications, backed by world-class investors, and partnered with the companies defining frontier AI.

Apply Now

We are always looking for exceptional people. Even if you do not see a role that matches, reach out. We make room for talent. Reach out to us: hr@memories.ai