Hybrid GPU Infra Engineer for ML Systems

Hcompany in Paris/London hybrid environments seeks a senior GPU infrastructure engineer to own the GPU compute powering model training, evaluation, and serving systems. You’ll run Kubernetes clusters for GPU training and inference, manage capacity with cloud providers, and optimize scheduling and placement across regions.The role sits in the Platform...

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...

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...

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...

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...

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are...

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...

Our research team publishes advanced research on reinforcement learning in top AI conferences such as NeurIPS and collaborates with world-leading researchers and companies.From Q2 2022, InstaDeep is expanding in the United States. With this aim, InstaDeep is looking for a ML Software/DevOps Engineer to support the development of its US activities.In this...

The Senior Machine Learning Engineer, ML Platform is responsible for building, running, and evolving the ML monorepo used by the X-ray, CT, and MRI machine learning group at DeepHealth. The monorepo covers the full path from experimentation to product: dataset and sample definitions, training and evaluation code, experiment tracking, model export, and the...