# Research Engineer, ML Platform at Mistral AI

- Company: Mistral AI
- What the company does: The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models. Backed by General Catalyst, Index and Lightspeed.
- Company website: https://mistral.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Palo Alto
- Work setup: Remote
- Posted: 2026-09-03
- Apply by: 2026-10-18
- Apply: https://jobs.ashbyhq.com/mistral.ai/51c1df24-53f1-4ec9-9523-cd40c88e00cf
- Page: https://www.1752.vc/careers/jobs/mistral-ai-research-engineer-ml-platform/

## About the role

This role focuses on building and operating the ML platform that powers large-scale training, evaluation, and batch inference at Mistral AI. You will develop the infrastructure that enables researchers and engineers to run distributed GPU workloads reliably across clusters, hardware types, and regions.

## What they're looking for

- Have 4+ years of experience in ML infrastructure, distributed systems, Kubernetes platform engineering, or a related field
- Are proficient in Python or Go and comfortable working with production-grade distributed systems
- Have strong Kubernetes knowledge, including controllers, operators, CRDs, scheduling, networking, storage, and resource management
- Understand technologies such as Kueue, Karpenter, Volcano, and Kyverno, and the problems they address in workload scheduling, provisioning, and policy enforcement
- Understand distributed ML workloads, including training, fine-tuning, evaluation, checkpointing, and batch inference
- Are familiar with GPU infrastructure and technologies such as PyTorch, CUDA, NCCL, and high-performance networking

Tags: Science