ML Research Intern - Video Gen & Systems (Onsite SG)

Cantina Labs; Singapore; On-site; SGD 16,000 - 25,000; Full time

Benefits offered by this job

Competitive stipend

Visa travel support

Housing support in Singapore

Equipment and resources

Job summary

Cantina Labs in Singapore is seeking exceptional machine learning interns to work on the next generation of video models for a three-month onsite internship starting October 2026. You will be matched with a project, work closely with a senior mentor, and contribute to post-training and inference efficiency, reward modeling, and scalable data pipelines using tools like FFmpeg, PyAV, DALI, or OpenCV.

The program offers a defined project, weekly check-ins, a meaningful compute allocation, and

Qualifications

• Pursuing a bachelor’s or master’s degree in computer science, engineering, machine learning, or a related field.
• Experience building data pipelines, ML infrastructure, or distributed systems through research, coursework, open-source contributions, or previous internships.
• Familiar with tools such as Ray, PySpark, Airflow, Docker, Kubernetes, or equivalent technologies.
• Experience with cloud storage or compute platforms such as AWS, Google Cloud, or Azure.
• Proficient in Python and building reliable systems for large-scale machine learning.

Responsibilities

• Develop reward models to improve aesthetics, motion quality, temporal consistency, and prompt adherence.
• Study how base-model behavior affects post-training outcomes and use 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 reliability, reproducibility, and efficiency of data and model-training workflows.
• Build tooling for video and multimodal data using FFmpeg, PyAV, DALI, or OpenCV.
• Contribute to evaluation harnesses, model integrations, research tooling, or product-adjacent projects.
• Document and communicate findings through research reports, internal presentations, demonstrations, and potential conference submissions.

Skills

Python

Data pipelines

Distributed systems

Education

Bachelor's or Master's in CS/Engineering/ML

Tools

Ray

PySpark

Airflow

Docker

Kubernetes

Job description

Cantina Labs in Singapore is seeking exceptional machine learning interns to work on the next generation of video models for a three-month onsite internship starting October 2026. You will be matched with a project, work closely with a senior mentor, and contribute to post-training and inference efficiency, reward modeling, and scalable data pipelines using tools like FFmpeg, PyAV, DALI, or OpenCV.

The program offers a defined project, weekly check-ins, a meaningful compute allocation, and