Jobs at Cantina Labs

Conduct research on next-generation video generation models, focusing on distillation, inference efficiency, reward modeling, preference optimization, evaluation, and scalable training infrastructure. Interns will formulate hypotheses, run large-scale experiments, analyze results, develop research tooling, and communicate findings through reports, presentations, demonstrations, and potential conference submissions under senior mentorship.

Three-month onsite internship developing and evaluating video-generation machine learning systems. Projects may involve reward modeling, inference efficiency, multimodal data pipelines, distributed training infrastructure, large-scale experimentation, and evaluation tooling. Interns own a defined research or engineering project with senior mentorship and may contribute to conference publications or product-adjacent work.

The ML Engineer will build and scale large-scale data systems and pipelines, focusing on workload orchestration, dataset curation, and quality improvement techniques for machine learning models.

As a Research Scientist, you will lead research on video generation models, build data systems, and collaborate on model improvements, while driving project ideation and validation.