Cohere

Cohere is seeking a Machine Learning Engineer specializing in pretraining data to develop data pipelines for their advanced language models. The role involves conducting data ablations, evaluating data quality, and constructing pre-training data mixtures to enhance model performance, directly contributing to improvements in training metrics like throughput and accelerator utilization.

Cohere is seeking a Machine Learning Engineer specializing in synthetic data to develop and manage the synthetic data pipeline for their advanced language models. This role involves end-to-end management of synthetic data, including pipeline optimization, data analysis and generation, and model evaluation. The engineer will work with diverse web and code data, transforming it using generative models to improve token efficiency and model quality, bridging research and engineering to enhance training metrics like throughput and accelerator utilization.

This role focuses on data annotation and evaluation for AI models, specifically breaking down engineering procedures into steps for the model to learn and complete. The specialist will task models, verify accuracy, and label/proofread outputs, requiring a background in engineering fields.