# Research Intern

**Company:** [Cantina](https://hotfix.jobs/companies/cantina)
**Location:** Unspecified
**Role:** AI Research
**Skills:** Python, PyTorch, JAX, Diffusion Models, Flow-Based Models, Model Distillation, Reinforcement Learning, Preference Optimization, Computer Vision, Generative Modeling, Multimodal Learning, Video Generation, Reward Modeling, Model Evaluation, Generative AI
**Posted:** 2026-09-07

> Research Intern working on next-generation video generation models through experimentation in distillation, inference efficiency, reward modeling, preference optimization, and scalable training infrastructure. Applicants should be pursuing a PhD or final-year master’s degree with relevant research experience and strong Python and machine learning framework skills.

## Job Description

## Responsibilities
- Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation.
- 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 apply findings to model development.
- Design rigorous evaluations and conduct large-scale experiments on generative video models.
- Contribute to evaluation harnesses, model integrations, research tooling, and related product-adjacent projects.
- Document and communicate findings through research reports, internal presentations, demonstrations, and potential conference submissions.

## Requirements
- Currently pursuing a PhD or in the final year of a master's program 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.
- Ability to work independently on open-ended research problems while collaborating with mentors and the broader team.

## Nice to Have
- Experience with video, image, audio, or other multimodal data.
- Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI.

## Compensation and Benefits
- Competitive monthly stipend.
- Visa and travel support for eligible international candidates.
- Housing support for qualifying international interns in Singapore.
- Meaningful compute allocation, equipment, and research resources.
- Conference travel support if a paper is accepted.

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