Video AI Research Scientist: Scalable ML Data Platforms

Cantina, Inc.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Generous company equity

Personal time off and paid holidays

Health insurance

Global travel insurance

Monthly spending stipend

Job summary

Cantina, Inc. is seeking a Research Scientist in Singapore to focus on foundational research in video generation models. This role will involve driving post-training research and collaborating with data and modeling teams to enhance model improvements.

The ideal candidate will have strong experience in large-scale data systems and a solid research background in generative models, particularly involving video processing.

Benefits include competitive salary, health insurance, and a monthly spending stipend.

Qualifications

• Strong hands-on experience building or scaling large-scale data systems or pipelines.
• Experience with distributed data processing frameworks such as PySpark.
• Familiarity with containerization, including Docker and Kubernetes.
• Experience working with cloud-based data storage and compute.

Responsibilities

• Build and maintain scalable systems for ingesting and delivering large-scale video data.
• Design and scale distributed data pipelines for preprocessing and dataset generation.
• Implement and maintain containerized pipeline infrastructure using Kubernetes.
• Research and develop methods for generative models, enhancing efficiency and quality.

Skills

Building or scaling large-scale data systems

Distributed data processing frameworks (e.g., PySpark)

Containerization (Docker, Kubernetes)

Cloud-based data storage (AWS, GCS, Azure)

Familiarity with video processing tools (FFmpeg, OpenCV)

Proficiency in Python

Experience with PyTorch or JAX

Research in post-training methods for generative models

Education

Strong research background

Tools

Kubernetes

Airflow

Job description

Cantina, Inc. is seeking a Research Scientist in Singapore to focus on foundational research in video generation models. This role will involve driving post-training research and collaborating with data and modeling teams to enhance model improvements.

The ideal candidate will have strong experience in large-scale data systems and a solid research background in generative models, particularly involving video processing.

Benefits include competitive salary, health insurance, and a monthly spending stipend.