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

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