About this role
Design and scale distributed data pipelines for ingesting and processing large-scale multimodal video and image data. Own the full pipeline from raw content to training-ready datasets, focusing on curation, filtering, and cost-efficiency.
Requires strong experience building large-scale ML data systems using distributed frameworks like PySpark or Ray and orchestration tools like Airflow. Proficiency in Python and experience with VLM-based captioning, CLIP filtering, and cloud infrastructure is essential.
What they're looking for
Machine LearningData PipelinesPySparkRayAirflowDockerKubernetesAWS
Frequently asked questions
What does a Machine Learning Engineer (Singapore) at Cantina do?
Design and scale distributed data pipelines for ingesting and processing large-scale multimodal video and image data. Own the full pipeline from raw content to training-ready datasets, focusing on curation, filtering, and cost-efficiency. Requires strong experience building large-scale ML data syste…
What skills does this Machine Learning Engineer (Singapore) role need?
Key skills for this role include Machine Learning, Data Pipelines, PySpark, Ray, Airflow, Docker.
How much does a Machine Learning Engineer (Singapore) at Cantina pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer (Singapore) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Machine Learning Engineer (Singapore) role?
You can apply directly on Cantina's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.