Member of Technical Staff – Data: World Models
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Job Description
Data Engineer responsible for building data pipelines and storage systems for AI model training. Collaborate with researchers to optimize data processing and ensure data integrity.
Responsibilities:
- Own the pipelines and storage systems for model training
- Build tooling for automated and efficient processing
- Optimize Python ETL pipelines for large-scale data
- Maintain data cataloging, lineage, and quality tooling
Requirements:
- Knowledge of Python ETL pipelines and supporting infrastructure
- Experience managing datasets, annotations, and data versioning for model training
- Solid grasp of ML fundamentals
- Skilled at writing specifications for AI agents
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