🛠 Tech Stack

💼 About This Role

You'll build and scale data pipelines for large-scale video and multimodal model training at Cantina, a social AI company. Your work will directly power how characters come to life in real-time. You'll own the full pipeline from raw content to training-ready datasets, focusing on speed, reliability, and cost-efficiency.

🎯 What You'll Do

• Design and scale distributed data pipelines for preprocessing and dataset generation
• Own workflow orchestration, job scheduling, monitoring, and failure recovery
• Implement and maintain containerized pipeline infrastructure using Kubernetes
• Optimize cloud-based data storage and movement across providers for cost and efficiency
• Define and implement best practices for dataset storage layout, versioning, and caching

📋 Requirements

• Hands-on experience with large-scale data systems and pipelines for machine learning
• Experience with distributed data processing frameworks like PySpark or Ray
• Familiarity with containerization and orchestration using Docker and Kubernetes
• Experience with cloud-based storage and compute (AWS, GCS, or Azure)

✨ Nice to Have

• Experience with VLM-based captioning or quality/aesthetic scoring models for video/image
• Familiarity with CLIP-based or embedding-based filtering techniques
• Proficiency in video/media processing tools like FFmpeg, PyAV, or OpenCV

🎁 Benefits & Perks

• 💰 Competitive salary and generous company equity
• 🏖️ Personal time off and paid holidays
• 🏥 Health insurance
• 🌍 Global travel insurance
• 💵 Monthly spending stipend: $500 (~S$635)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min