ML Platform Engineer: GPU Orchestration & Scale

Mistral; Palo Alto (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Job summary

Mistral is hiring to build and operate the ML platform enabling large-scale training, evaluation, and batch inference. You will create infrastructure to run distributed GPU workloads across clusters and regions, with a focus on reliability and self-service for researchers and engineers.

Join a fast-moving, frontier-AI team that values ownership, observability, and scalable capacity management across heterogeneous hardware and multi-cluster environments.

Qualifications

• 4+ years of experience in ML infrastructure, distributed systems, Kubernetes platform engineering, or a related field.

Responsibilities

• Build the ML Platform: Develop services, APIs, controllers, and tooling for training, evaluation, fine-tuning, and batch inference.

Skills

Python or Go

Kubernetes

Distributed systems

GPU/ML workloads

Tools

Kueue

Karpenter

Volcano

Kyverno

Job description

Mistral is hiring to build and operate the ML platform enabling large-scale training, evaluation, and batch inference. You will create infrastructure to run distributed GPU workloads across clusters and regions, with a focus on reliability and self-service for researchers and engineers.

Join a fast-moving, frontier-AI team that values ownership, observability, and scalable capacity management across heterogeneous hardware and multi-cluster environments.