Build pretraining data systems at Cohere as a Machine Learning Engineer, using Python and data pipelines in a remote-friendly setting.
This Machine Learning Engineer role focuses on pretraining data for Cohere’s advanced language models. You will combine research and engineering across data ablations, data mixtures, data modeling, and curation. Your work supports improvements in training throughput and accelerator utilization while advancing natural language processing.
Key Responsibilities: Conduct data ablations to assess quality and test data mixtures
Develop data modeling techniques for efficient training datasets
Research and implement innovative data curation methods
Collaborate with researchers and engineers on data pipelines
Requirements: Solid software engineering skills with Python proficiency
Experience building data pipelines and handling large-scale datasets
Familiarity with curriculum learning, data mixing, and attribution
Experience with Spark, Beam, Pandas, or similar frameworks
Knowledge of data quality assessment and mixture experimentation
Use Python, data curation, and pipeline engineering to strengthen Cohere’s language model training systems.

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📌 Machine Learning Engineer Pretraining Data (Quebec City)
🏢 Cohere
📍 Quebec City