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Cohere

Senior

Own the web-data pipeline that feeds Cohere's pretraining corpus

This is a senior data/ML-infra role at Cohere focused on turning raw web crawl data into high-quality pretraining data — extraction, dedup, filtering, and quality scoring at large scale. Interview will probe Python data-pipeline engineering, distributed processing frameworks, and judgment about data quality's effect on model performance.

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这场面试考什么

  • Large-scale web data extraction & parsing
  • Deduplication at scale (algorithms & tradeoffs)
  • Data quality scoring / filtering design
  • Data pipeline engineering in Python (Spark/Beam/Pandas)
  • Analyzing data composition's effect on model performance

常见提问方向

Walk through a large-scale data pipeline you owned end to end

How would you design a deduplication system for billions of web documents

How do you decide whether a filtering heuristic actually improves training data quality

Tradeoffs between Spark/Beam/Pandas for different data volumes

How would you study the impact of a data mixture change on downstream model behavior

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