Job Description
About the Role: Cantina is expanding, and we're looking for a Research Scientist to join our growing Singapore team! In this role, you will drive foundational research on video generation models, taking ownership across the full research cycle and driving post-training research. Furthermore, you'll collaborate closely with data, infrastructure, and adjacent modeling teams to translate research findings into durable model improvements. What You’ll Do: Build and maintain scalable systems for ingesting, preprocessing, and delivering large-scale video data for model training Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns Build tooling to support deduplication workflows at scale, including near-dedup pipelines over large video corpora Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance distillation and adversarial distillation, with a focus on preserving or improving generation quality while reducing inference cost Develop reward models and preference-based fine-tuning pipelines that align video generation quality with human judgments across dimensions such as aesthetics, motion quality, and prompt adherence Analyze the relationship between base model behavior and post-training outcomes, and work with the foundation model team to inform pretraining decisions accordingly What You’ll Bring: Strong hands-on experience building or scaling large-scale data systems or
