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 mixturesDevelop data modeling techniques for efficient training datasetsResearch and implement cutting-edge data curation methodsCollaborate with researchers and engineers on data pipelinesRequirements: Strong software engineering skills with Python proficiencyExperience building data pipelines and handling large-scale datasetsFamiliarity with curriculum learning, data mixing, and attributionExperience with Spark, Beam, Pandas, or similar frameworksKnowledge of data quality assessment and mixture experimentationUse Python, data curation, and pipeline engineering to strengthen Cohere’s language model training systems.#J-18808-Ljbffr

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