Research Scientist (Singapore)

📋 Description

• Build scalable systems for ingesting and preprocessing large-scale video data for model training
• Design and scale distributed data pipelines for preprocessing and dataset refreshes
• Own workflow orchestration, job scheduling, monitoring, and failure recovery
• Implement containerized pipeline infrastructure using Kubernetes or similar
• Optimize cloud data storage and movement across AWS, GCS, or Azure for cost and throughput
• Define best practices for dataset storage, versioning, caching, retention, and access

🎯 Requirements

• Strong hands-on experience building or scaling large-scale data systems for ML
• Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow
• Familiarity with containerization and container orchestration, including Docker and Kubernetes
• Experience with cloud-based data storage and compute (AWS, GCS, and/or Azure) including tradeoffs around cost, throughput, storage layout, and access patterns
• Familiarity with video and media processing tools such as FFmpeg, PyAV, OpenCV
• Proficiency in Python and modern ML frameworks, with a strong preference for PyTorch or JAX

🎁 Benefits

• Competitive salary and generous equity
• Personal time off and paid holidays
• Health insurance
• Global travel insurance: Covers you when traveling internationally
• Monthly spending stipend: $500 (~S$635)
• Equipment: All equipment needed for your home office