ML Systems Engineer for High-Performance AI Inference

Mistral is seeking an experienced engineer to own and evolve the inference foundation that powers production LLM serving and frontier model training. You will optimize the core stack, manage releases, and push upstream improvements to high-performance serving systems.The role blends engine, platform development, and capacity engineering in a hybrid setup....

Genesis is seeking a senior engineer to build and optimize real-time ML inference pipelines and distributed systems for on-device deployment and GPU clusters. You will write efficient low-level code (CUDA/Triton) and integrate with high-level frameworks, ensuring reliability and rapid diagnosis of regressions across stacks.The role demands deep expertise in...

Meet Arago and the AragoniansArago’s mission is to re-engineer the foundations of computing from first principles.The explosive growth of AI is pushing the industry to rethink how processors are built. Arago is meeting that challenge with a proprietary technology that fuses optical and CMOS technologies to deliver an order-of-magnitude increase in...

Apple is seeking a senior ML inference architect to join the Foundation Model Inference team in Paris. You will work at the intersection of research and production, delivering scalable, secure inference systems for billions of interactions across Apple services.You will partner with research and external partners to bring cutting-edge architectures to...

Set a new pulse for healthcare! We are looking for a Senior Inference Engineer to join the ML Platform (TIGER) team in AI & Machine Learning. Your mission will be to power Doctolib's AI-driven healthcare products — from Consultation Assistant to Phone Assistant and Health Companion — by owning the self-hosted LLM serving platform that keeps the most...

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...

What You’ll DoBuild low-latency inference pipelines for on-device deployment, enabling real-time next-token and diffusion-based control loops in roboticsDesign and optimize distributed inference systems on GPU clusters, pushing throughput with large-batch serving and efficient resource utilizationImplement efficient low-level code (CUDA, Triton, custom...

About MistralMistral 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 a...