Teams at Cantina Labs

Build and productionize large-scale TTS and adjacent speech models end-to-end: model architecture, training, alignment, evaluation, data curation, distributed GPU scaling, latency/cost profiling, tooling, and safety/mitigation for speech systems.

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.