Build machine learning workload infrastructure remotely across Canada or the United States using Kubernetes, Python, or Go.

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Cohere’s foundation models.As a Software Engineer on Internal Infrastructure, you will build platforms for training, evaluation, and reinforcement-learning workloads. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work includes scheduling, networking, storage, and runtime isolation for Cohere’s North platform.Key Responsibilities:

Schedule training, evaluation, and reinforcement-learning jobs on KubernetesBuild workload networking, runtime isolation, agents,



and sandboxesCoordinate storage for checkpoints and training artifactsTroubleshoot production failures and performance problemsDevelop automation, infrastructure-as-code, and observabilityRequirements:

Production experience with job platforms, batch systems, or Kubernetes controllersUnderstanding of scheduling, queues, multi-tenant fairness, and distributed systemsExperience with retries, partial failure, and automation judgmentSoftware development experience in Python or GoExperience collaborating with researchers or ML engineersHelp operate Cohere’s machine learning platform through Kubernetes scheduling, distributed systems, workload networking, and observability.

📌 Machine Learning Platform Software Engineer (Winnipeg)
🏢 Wwshemi
📍 Winnipeg