Machine Learning Intern

Cantina Labs is growing its research lab in Singapore and is seeking exceptional machine learning interns to work on the next generation of video generation models. 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.

What you'll do

• Develop reward models to improve aesthetics, motion quality, temporal consistency, and prompt adherence in video generation
• Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development
• Design rigorous evaluations and conduct large-scale experiments on generative video models
• Build systems for ingesting, preprocessing, curating, and delivering large-scale video datasets
• Develop distributed pipelines for dataset generation, deduplication, preprocessing, and repeated dataset refreshes
• Improve the reliability, reproducibility, and efficiency of data and model-training workflows
• Build tooling for video and multimodal data using technologies such as FFmpeg, PyAV, DALI, or OpenCV
• Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work
• Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions

What you bring

• You are pursuing a bachelor's or master's degree in computer science, engineering, machine learning, or a related field
• You have experience building data pipelines, ML infrastructure, or distributed systems through research, coursework, open-source contributions, or previous internships
• You are familiar with tools such as Ray, PySpark, Airflow, Docker, Kubernetes, or equivalent technologies
• You have worked with cloud storage or compute platforms such as AWS, Google Cloud, or Azure
• You understand practical considerations around data throughput, storage layout, caching, monitoring, and failure recovery
• You are proficient in Python and interested in building reliable systems for large-scale machine learning

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

What we offer

• A defined project and named senior mentor before your first day
• Weekly one-on-one meetings and clear project milestones
• A meaningful compute allocation for your research
• Ownership of a complete research or engineering result
• 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
• Three-month onsite internship in Singapore, starting either October 2026 or January 2027

About Cantina Labs

Cantina Labs is a social AI company developing a suite of advanced video generation models. The company brings characters to life, transforming how people tell stories, connect, and create.