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Research Engineer, Data Infrastructure

Mistral AIPalo AltoScience
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
10 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Research Engineer, Data Infrastructure role at Mistral AI is a full-time position based in Palo Alto with remote flexibility within the Science department. This role is ideal for professionals with at least four years of experience who want to design and scale massive compute fleets and high-performance storage systems.

Key Responsibilities

Build and scale distributed compute and storage systems to support high-performance workloads.
Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
Lead the transition to modern storage formats capable of managing fine-tuning datasets that anticipate exabyte growth.
Contribute to the internal training platform to ensure smooth model training and fine-tuning across Kubernetes and SLURM environments.
Implement and manage metadata and lineage systems for growing data and model pipelines.
Take full lifecycle ownership of data infrastructure, from legacy orchestrator migrations to building production pipelines and participating in on-call rotations for critical training jobs.

Requirements

Bring a minimum of 4 years of professional background in Infrastructure Engineering, MLOps, or Data Infrastructure.
Demonstrate experience or a strong interest in supporting foundational storage and compute platforms.
Show proficiency in Python and a desire to solve data lake challenges using modern columnar storage standards.
Possess strong familiarity with Kubernetes-native tooling and experience debugging large-scale distributed systems across multi-cluster setups.
Take pride in creating secure, reliable, and scalable systems from the ground up.
Remain comfortable navigating ambiguity and the rapid growth typical of an AI environment.

Skills and Tools

Python
Kubernetes
MLOps
SLURM
Multi-cluster orchestration layers
Modern columnar storage standards
Cloud-native deployment workflows

About the Company

Mistral AI delivers full-stack artificial intelligence solutions, ranging from developer tools and frontier models to complete applications and compute capabilities. The enterprise partners with organizations across high-stakes sectors like healthcare, finance, manufacturing, defense, and the public sector to co-create customized AI systems. Operating with a distributed workforce across North America, Europe, Asia, and the Middle East, the company fosters a dynamic, low-ego, and collaborative team culture dedicated to technological innovation.

How to Apply

Interested candidates should visit the official Mistral AI careers page to submit their application.

Skills and tech stack

PythonKubernetesMLOps

Questions candidates ask

What is the primary focus of the Research Engineer role at Mistral AI?

The position focuses on building and operating the next generation of data infrastructure, including designing and scaling massive compute fleets and high-performance storage systems.

Is this role remote?

Yes, this position offers remote flexibility alongside the Palo Alto office location.

How many years of experience are required?

Candidates must have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.

What technical skills are needed for the job?

Key technical requirements include proficiency in Python, experience with Kubernetes-native tooling, familiarity with SLURM environments, and expertise in distributed systems.

What departments does this position sit under?

This role is part of the Science department at Mistral AI.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site