Advance model post-training with Python and large-scale distributed training at Cohere, working remotely or from listed offices. Ship frontier models into production. As a Member of Technical Staff, you will bridge research and production while advancing model post-training. You will write production software, support research, and collaborate across specialist teams. The work spans SFT, RL, supercompute, and data infrastructure. Key Responsibilities:

Design scalable software for model training Post-train models toward state-of-the-art performance Coordinate with Agentic and Code specialist teams Improve SFT and RL training cycles Experiment on supercompute and data infrastructure Requirements:

Extremely robust software engineering skills Proficiency in Python, JAX, PyTorch, and XLA/MLIR Experience with Kubernetes, Slurm, and Ray Experience using large-scale distributed training strategies Hands-on experience training large models at scale Build production machine learning systems while optimizing post-training performance across Cohere’s research and engineering efforts.

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📌 Machine Learning Software Engineer (Winnipeg)
🏢 Cohere
📍 Winnipeg