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 trainingPost-train models toward state-of-the-art performanceCoordinate with Agentic and Code specialist teamsImprove SFT and RL training cyclesExperiment on supercompute and data infrastructureRequirements:
Extremely robust software engineering skillsProficiency in Python, JAX, PyTorch, and XLA/MLIRExperience with Kubernetes, Slurm, and RayExperience using large-scale distributed training strategiesHands-on experience training large models at scaleBuild 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