Build machine learning workload infrastructure remotely across Canada or the United States using Kubernetes, Python, or Go. Support 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 Kubernetes
Build workload networking, runtime isolation, agents, and sandboxes
Coordinate storage for checkpoints and training artifacts
Troubleshoot production failures and performance problems
Develop automation,



infrastructure-as-code, and observability
Requirements: Production experience with job platforms, batch systems, or Kubernetes controllers
Understanding of scheduling, queues, multi-tenant fairness, and distributed systems
Experience with retries, partial failure, and automation judgment
Software development experience in Python or Go
Experience collaborating with researchers or ML engineers
Help operate Cohere’s machine learning platform through Kubernetes scheduling, distributed systems, workload networking, and observability.

#J-18808-Ljbffr

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