ML Data Pipelines Engineer for Video & Multimodal AI

Cantina Labs; Singapore; On-site; SGD 70,000 - 100,000; Full time

Benefits offered by this job

Competitive salary and equity

Personal time off and paid holidays

Health insurance

Global travel insurance

Monthly spending stipend

Equipment for home office

Job summary

Cantina Labs in Singapore is seeking a skilled ML Engineer to build and scale systems for processing and delivering large-scale video and multimodal data. This role involves owning the full pipeline from raw content to training-ready datasets while ensuring speed and cost-efficiency. Ideal candidates will have extensive experience in data systems, including cloud-based storage, distributed processing frameworks, and strong proficiency in Python. Benefits include a competitive salary, generous equity, and a monthly stipend.

Qualifications

• Proven experience in building and scaling data systems for machine learning.
• Hands-on experience with distributed data frameworks like PySpark or Ray.
• Familiarity with cloud services such as AWS, GCS, or Azure.

Responsibilities

• Design and scale data pipelines for dataset generation.
• Implement containerized pipeline infrastructure.
• Optimize cloud-based data storage for efficiency.

Skills

Machine learning systems

Distributed data processing

Python

Cloud storage and compute

Containerization

Data curation

Tools

Kubernetes

Docker

PySpark

Airflow

FFmpeg

Job description

Cantina Labs in Singapore is seeking a skilled ML Engineer to build and scale systems for processing and delivering large-scale video and multimodal data. This role involves owning the full pipeline from raw content to training-ready datasets while ensuring speed and cost-efficiency. Ideal candidates will have extensive experience in data systems, including cloud-based storage, distributed processing frameworks, and strong proficiency in Python. Benefits include a competitive salary, generous equity, and a monthly stipend.