Machine Learning Engineer (Singapore)

About the Role:

Cantina is expanding, and we're looking for an ML Engineer to join our growing Singapore team! In this role, you will build and scale systems for ingesting, processing, and delivering large-scale video and multimodal data for model training. You'll own the full pipeline — from raw content to curated, filtered, and training-ready datasets — with a focus on speed, reliability, reproducibility, and cost-efficiency. You'll partner closely with curation and modeling teams to operationalize evolving dataset recipes and iterate on approaches that improve model outcomes.

What You’ll Do:

• 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