Infrastructure Engineer (ML Systems) - London

Job summary

Responsibilities

You’ll own the GPU compute that powers our model training, evaluation and serving systems.

• Running Kubernetes clusters for GPU training and inference
• Improving how GPU work is scheduled and placed
• Detecting, draining and repairing unhealthy GPU nodes
• Managing capacity with our cloud providers
• Debugging failures in GPUs, Linux, storage and networking

Tech stack

• Kubernetes
• Node.js
• Python
• AWS
• Terraform