Research Engineer, Data Ingestion
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El puesto
Support the design, implementation, and maintenance of a large-scale web crawler and data ingestion pipelines.
Design and run experiments to evaluate data quality, extraction methods, and crawling strategies, and analyze results to identify improvements.
Analyze crawled data to uncover patterns, gaps, and opportunities for data enhancement and source diversification.
Build pipelines for ingestion, analysis, and ongoing quality improvement, and develop specialized crawlers for high-value data sources.
Collaborate with Pretraining and Tokens teams to create feedback loops between crawled data and evaluation outputs; participate in code reviews and debugging.
Hybrid, office-based role in San Francisco with at least 25% in-person time; balance hands-on engineering with data research at scale.
Design and run experiments to evaluate data quality, extraction methods, and crawling strategies, and analyze results to identify improvements.
Analyze crawled data to uncover patterns, gaps, and opportunities for data enhancement and source diversification.
Build pipelines for ingestion, analysis, and ongoing quality improvement, and develop specialized crawlers for high-value data sources.
Collaborate with Pretraining and Tokens teams to create feedback loops between crawled data and evaluation outputs; participate in code reviews and debugging.
Hybrid, office-based role in San Francisco with at least 25% in-person time; balance hands-on engineering with data research at scale.
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