Research Intern

Cantina

. Work on the next generation of video models with a defined research or engineering project .

Posted 10/27/2026internshipSingapore • SingaporeEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in generative modeling and video generation, with proficiency in Python and modern machine learning frameworks like PyTorch and JAX. Capable of conducting rigorous evaluations and communicating research findings effectively.

Highest-signal resume keywords

PhD Or Master's Degree In Computer ScienceResearch Experience In Generative ModelingHands-On Experience With Diffusion ModelsProficiency In PythonExperience With Multimodal Data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative ModelingVideo GenerationModel DistillationReinforcement LearningPreference OptimizationControlled Experiment DesignData AnalysisHypothesis FormulationDiffusion ModelsFlow-Based Models

Soft Skills

Clear CommunicationIndependent ResearchCollaboration

Tools & Technologies

PythonPyTorchJAXResearch Tooling

Industry Keywords

Computer VisionMultimodal LearningInference Cost ReductionTemporal ConsistencyModel EvaluationNeurIPSICMLICLRCVPRICCV

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Work on the next generation of video models with a defined research or engineering project
Research and develop distillation methods for large-scale diffusion and flow-based video generation models
Explore techniques to reduce inference cost while preserving or improving generation quality
Develop reward models and preference-based optimization methods for aesthetics, motion quality, temporal consistency, and prompt adherence
Study how base-model behavior affects post-training outcomes and inform model development
Design rigorous evaluations and conduct large-scale experiments on generative video models
Contribute to evaluation harnesses, model integrations, research tooling, and product-adjacent projects
Document and communicate findings through research reports, internal presentations, demonstrations, and potential conference submissions
Work closely with a senior mentor from problem formulation through experimentation, evaluation, and possible conference submission

Requirements

What you’ll need

Currently pursuing a PhD or a final-year master’s degree in computer science, machine learning, computer vision, or a related field
Research experience in generative modeling, computer vision, multimodal learning, or video generation
Hands-on experience with diffusion models, flow-based models, model distillation, reinforcement learning, preference optimization, or related post-training techniques
Ability to formulate hypotheses, design controlled experiments, analyze results, and communicate conclusions clearly
Proficiency in Python and hands-on experience with PyTorch, JAX, or another modern machine learning framework
Comfortable working independently on an open-ended research problem while collaborating closely with a mentor and the broader team
Experience with video, image, audio, or other multimodal data is valuable
Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required

Benefits

Comp & perks

A meaningful compute allocation for your research
First-author positioning by default where your contribution supports a publication
Timely internal review of research intended for submission
Support for conference travel if your paper is accepted
Opportunities to demonstrate your work and receive credit for product contributions
A competitive monthly stipend
Visa and travel support for eligible international candidates
Housing support for qualifying international interns in Singapore
Equipment and resources needed to complete your work