Jobs at Cantina Labs

The Events Manager will oversee Cantina's global events, managing logistics, vendor coordination, budgets, and on-site execution to ensure successful activations.

As Product Manager, you will lead product execution, collaborate with teams, drive feature development, analyze product health, and conduct experiments.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

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.

As a Prompt Engineer, you'll shape how AI characters express themselves, collaborating with various teams to develop prompts, datasets, and evaluation frameworks. You'll manage both immediate product needs and long-term goals, ensuring bots engage users effectively through storytelling and interaction.

The Product Director will lead the video product strategy and execution, collaborating with teams to enhance creators' video content creation and sharing experience.

Lead iOS application development, create innovative features, collaborate with cross-functional teams, and ensure high-quality standards in a supportive environment.

The Creator Partner Manager builds and maintains relationships with signed creators, helping them succeed through content ideation, bot development, and performance tracking.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.