大模型预训练数据算法工程师
Tasks
- Analyze data source characteristics and quality issues
- Build large scale pretraining data processing pipeline
- Collaborate with pretraining algorithm and data infrastructure teams
- Develop data construction extraction parsing cleaning deduplication quality evaluation filtering selection
- Evaluate impact of data processing on model training and evaluation
- Iterate data processing strategy based on experiment results
- Optimize data processing for correctness efficiency stability reproducibility
- Run statistical sampling and error case analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Data Deduplication | Data Engineering | Data Filtering | Data Parsing | Data Processing | Data Quality | Data Sampling | Data cleaning | Data extraction | Data pipeline | Data quality assessment | Distributed Systems | Machine Learning | Performance Tuning | Python | Quality Assessment | Reproducibility | Statistical Analysis
Education
N/A
Regions
Countries
States
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