---
title: 'Research Engineer, Data Infrastructure at Mistral'
canonical: 'https://feeny.ai/job/research-engineer-data-infrastructure-mistral-paris-ry6gxqm5fz9b'
type: 'job'
last_seen: '2026-09-20'
---

# Research Engineer, Data Infrastructure at Mistral

- **Company:** [Mistral](https://feeny.ai/companies/mistral)
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-10
- **Last confirmed live:** 2026-09-20
- **Apply:** https://jobs.ashbyhq.com/mistral.ai/8c71b069-0eda-40d1-8cb1-4094fd9c81de/application

**Skills:** Python, Kubernetes, SLURM, Data Infrastructure, MLOps, Infrastructure Engineering, Distributed Systems, Columnar Storage Standards

> Join Mistral AI's Data Infrastructure team to architect and scale massive distributed compute and storage systems for frontier model training. You will build multi-cluster orchestration layers, modernize storage formats, and ensure operational excellence for high-scale MLOps and research pipelines.

## Job description

## 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 a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

## Role Summary

The Data Infrastructure team at Mistral AI is architecting the backbone of our frontier model training and fine-tuning ecosystem. We are building the specialized compute and data fabrics required to power the development of world-class AI.

Our vision is to operate some of the largest compute fleets in production and build data lakes and metadata systems with a roadmap toward exabyte-scale architecture. We are currently in the process of building a high-performance training platform designed for massive scale across both on-premise and cloud-native Kubernetes environments.

We are leading a strategic transition from legacy scheduling to modern orchestration. With numerous clusters distributed across various regions, we are focussed on implementing sophisticated multi-cluster orchestration and cloud-bursting capabilities to better utilize our global resources and ensure our researchers have seamless access to compute wherever it resides. Our mission is to evolve our current systems into a platform that is as durable as it is flexible.

Location: Paris / Warsaw / Zurich / London (hybrid) or remote EU/UK with one hub visit per month.

## About the Role

This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability.

You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs.

In this role, you will:

- Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems
- Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
- Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.
- Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments.
- Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.
- Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by orders of magnitude while remaining reliable and efficient.

You might thrive in this role if you:

- Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
- Have experience or a strong interest in supporting foundational compute and storage platforms.
- Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards.
- Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments.
- Take pride in building and operating scalable, reliable, and secure systems from the ground up.
- Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment.

Location and Remote

This role is primarily based at one of our European offices (Paris, London, Warsaw and Zurich). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France, UK, Poland and Switzerland). In that case, we ask all new hires to visit the local hub:

- for the first week of their onboarding (accommodation and travelling covered)
- then at least 3 days per month

## What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our [Benefits page](https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link).

Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our [Applicant Privacy Policy](https://legal.mistral.ai/terms/applicant-privacy-policy).

## About Mistral

## Company Overview
- **One-liner**: Mistral is a French AI company building open, frontier-grade large language models, developer platforms, and applied AI solutions for enterprises and governments.
- **Entity Type**: Private (Series C)
- **Headquarters**: Paris, France (15 rue des Halles)
- **Founded**: April 2023
- **Founders**: Arthur Mensch (CEO), Guillaume Lample (Chief Science Officer), Timothée Lacroix (CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Large Language Models, Enterprise AI Software
- **Target customers**: B2B, Enterprise, Government, and Developers (B2D)
- **Mission or purpose statement**: "To make frontier AI open to all, and together solve the world's hardest problems."

## Products & Services
- **Mistral Large**: Frontier-grade large language model for complex reasoning and enterprise tasks.
- **Mistral Small 3**: Efficient, lightweight model for cost-sensitive deployments.
- **Mistral Code / Vibe**: AI agent for long-horizon, autonomous software development and task completion.
- **Le Chat**: Consumer-facing AI assistant and chatbot.
- **Mistral OCR 4**: State-of-the-art document intelligence model for extracting and understanding text from images and PDFs.
- **Mistral Forge**: Custom model development service for training, aligning, and evaluating proprietary AI models on private data.
- **Mistral Studio**: Platform for building, testing, and running AI agents and applications with full control.
- **Mistral Compute**: Infrastructure and orchestration platform for frontier-scale training and inference (edge to cloud).
- **Mistral Search Toolkit**: Tools for integrating search and retrieval into AI applications.
- **Voxtral**: Voice AI model for speech-based interactions.

## Market Standing
- **Valuation/Market Cap**: $4.016 billion (latest reported valuation, per CB Insights; date not specified but likely post-Series C)
- **Key Metric**: Total funding raised across Seed, Series A, Series B, and Series C rounds (specific amounts not disclosed in search results).
- **Notable Investors/Partners**: Not explicitly named in search results, but the company partners with organizations in finance, manufacturing, defense, energy, and the public sector.
- **Growth Signals**: 
  - Rapid scaling: 900+ employees across 30+ nationalities as of mid-2026.
  - 50% of leadership roles held by women.
  - Key product launches on a near-monthly cadence (e.g., Mistral OCR, Forge, Vibe, Compute, Search Toolkit, Voxtral).
  - Strong presence in high-stakes, regulated industries (defense, energy, public sector).

## Competitive Advantages
- **Open-source DNA**: Commitment to openness, transparency, and cost efficiency differentiates Mistral from closed, Big Tech AI labs.
- **Full-stack ownership**: Controls the entire stack from frontier models to developer tools, applications, and compute infrastructure, enabling deep customization and reliability.
- **European leadership**: Positioned as a sovereign, European AI champion, appealing to governments and enterprises seeking data control and regulatory compliance.
- **Speed and rigor**: Culture of rapid experimentation, iteration, and data-driven decision-making.

## Strategic Focus
- **Enterprise and government partnerships**: Co-creating tailored AI systems for mission-critical use cases in finance, manufacturing, defense, energy, and public sector.
- **Open platform ecosystem**: Expanding Mistral Studio and Forge to enable customers to build custom models and agents on their own data.
- **Infrastructure as a product**: Commercializing Mistral Compute to become a platform for others to train and run AI workloads.
- **Continuous model innovation**: Releasing new frontier models and capabilities (OCR, voice, code agents) at a rapid pace.

## Why Work Here
- **Culture**: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
- **Remote/Hybrid/Office**: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
- **Notable perks and benefits** (from careers page):
  - 20 weeks paid parental leave for all birthing parents.
  - 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
  - 6% 401k match (US) / 5% pension contribution (UK).
  - Childcare support (reserved daycare seats or financial assistance).
  - Meal allowances and transportation support.
  - Fitness and wellness subsidies.
  - Relocation and settling-in services.
  - Financial and career planning support.
- **Team composition**: 900+ employees from 30+ nationalities; 50% female leaders.
- **Interview process**: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.

## Sources
1. [Mistral AI - About Page](https://mistral.ai/about/)
2. [Mistral AI - Careers Page](https://mistral.ai/careers/)
3. [Mistral AI - Homepage](https://mistral.ai/)
4. [CB Insights - Mistral AI Company Profile](https://www.cbinsights.com/company/mistral-ai)
5. [Mistral AI - LinkedIn](https://www.linkedin.com/company/mistralai)

## Other roles at Mistral

- [Talent Acquisition, Research - North America](https://feeny.ai/job/talent-acquisition-research-north-america-mistral-palo-alto-6rz2bzwb6yqj) — Palo Alto, CA
- [Applied Scientist (Internship in Paris or London)](https://feeny.ai/job/applied-scientist-internship-in-paris-or-london-mistral-seoul-ykh67v07eckn) — Seoul, South Korea
- [Partner Sales Manager, Cloud providers, META](https://feeny.ai/job/partner-sales-manager-cloud-providers-meta-mistral-dubai-3189hpz6yyka) — Dubai, United Arab Emirates
- [Partner Sales Manager, Cloudera](https://feeny.ai/job/partner-sales-manager-cloudera-mistral-new-york-579j48xwqk6c) — New York, NY
- [Technical Support Engineer (L2) - Compute](https://feeny.ai/job/technical-support-engineer-l2-compute-mistral-paris-9xh0ah55311w) — Paris, France
- [Partner Sales Manager Cloudera APAC](https://feeny.ai/job/partner-sales-manager-cloudera-apac-mistral-singapore-40c242k46q35) — Singapore
- [Product Director, Studio](https://feeny.ai/job/product-director-studio-mistral-paris-yb4xesytdpcy) — Paris, France
- [Product Manager, Context](https://feeny.ai/job/product-manager-context-mistral-paris-ezpfj6x0mgxr) — Paris, France
- [Solution Operations Manager, Strategic Accounts](https://feeny.ai/job/solution-operations-manager-strategic-accounts-mistral-paris-hwttd8qbm5ys) — Paris, France
- [Workplace Operations Manager](https://feeny.ai/job/workplace-operations-manager-mistral-singapore-1bhvrpdweee5) — Singapore