Infrastructure Engineer (ML Systems) - Paris

From the original posting

You’ll own the GPU compute that powers our model training, evaluation and serving systems. This role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers. What success looks like Success is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack. What you’ll be doing Running Kubernetes clusters…