Research Intern
Posted 7 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Internship
- Visa sponsorship
- Offered
No salary listed for this role.
Field of studyComputer Science, Computer Vision, Machine learning (or related)
Study levelMaster's or higher
About Cantina
Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
About the Internship
Cantina is growing its research lab in Singapore, and we are looking for exceptional research interns to work with us on the next generation of video models in October 2026.
This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference.
Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant.
What You’ll Work On
Depending on your project, you may:
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Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation
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Explore techniques that reduce inference cost while preserving or improving generation quality
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Develop reward models and preference-based optimization methods to improve aesthetics, motion quality, temporal consistency, and prompt adherence
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Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development
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Design rigorous evaluations and conduct large-scale experiments on generative video models
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Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work
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Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions
You may be a good fit if you
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Are currently pursuing a PhD or are a final-year master’s student in computer science, machine learning, computer vision, or a related field