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.

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