Senior Research Data Engineer

📋 Description

• Design and build data pipelines for agent training across text, image, and multimodal sources
• Build infra for data loading, storage, and retrieval at scale (S3, distributed systems)
• Collaborate with researchers to translate needs into data specs
• Create evaluation datasets and benchmarks with researchers
• Develop tooling for dataset construction, including annotation workflows
• Own data quality, validation, drift monitoring, and reproducibility

🎯 Requirements

• Strong Python software engineering skills
• Production-grade data pipelines and ML DevOps experience
• Experience with ML data workflows, large-scale processing, data versioning
• Hands-on data pipelines for distributed ML training
• Familiar with annotation tooling and human-in-the-loop data collection
• Understanding of ML training needs for good data and downstream impacts