Research Engineer, Data Infrastructure

Mistral; Paris; Hybrid; EUR 144,000 - 227,000; Full time

Benefits offered by this job

Equity

Health insurance

Lunch vouchers

Gympass

Mobility subsidy

Parental leave

Visa sponsorship

Job summary

Mistral AI is building a high-performance data infrastructure for frontier model training and fine-tuning. You will design and scale massive compute fleets and storage systems, enabling secure, governed data access for MLOps and research. The role covers on-premise and cloud-native Kubernetes environments.

Location options include Paris or London (hybrid) or remote EU/UK with one hub day per month. You will own end-to-end pipelines, migrate from legacy schedulers, and contribute to on-call

Qualifications

• 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
• Experience or interest in supporting foundational compute and storage platforms.
• Proficient in Python and solving data lake problems with modern storage standards.
• Well-versed in Kubernetes-native tooling; comfortable debugging large-scale distributed systems across multi-cluster environments.
• Ability to build scalable, reliable, and secure systems from the ground up.
• Comfortable with ambiguity in a rapid-growth AI environment.

Responsibilities

• Build & Scale: operate massive distributed compute and storage systems.
• Global Orchestration: maintain multi-cluster orchestration layers across diverse hardware and regions.
• Design Future-Proof Storage: transition to modern storage formats for exabyte-scale datasets.
• Platform Engineering: develop internal training platform for model training and fine-tuning on Kubernetes and SLURM.
• Metadata & Lineage: provide visibility and lineage for data and model pipelines.
• Operational Excellence: manage cloud-native deployments for scalable data platforms.

Skills

Data Infrastructure

MLOps

Infrastructure Engineering

Python

Kubernetes

Multi-cluster orchestration

Security & governance

Tools

Kubernetes

SLURM

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.

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.

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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

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By applying, you agree to our Applicant Privacy Policy.

Role Summary

Research Engineer, Data Infrastructure

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 / London (hybrid) or remote EU/UK with one hub day 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.

Benefits

France

Competitive cash salary and equity

Food: Daily lunch vouchers

Sport: Monthly contribution to a Gympass subscription

Transportation: Monthly contribution to a mobility pass

Health: Full health insurance for you and your family

Parental: Generous parental leave policy

Visa sponsorship

UK

Competitive cash salary and equity

Insurance

Transportation: Reimburse office parking charges, or £90 per month for public transport

Sport: £90 per month reimbursement for gym membership

Meal voucher: £200 monthly allowance for meals

Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

By applying, you agree to our Applicant Privacy Policy.

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.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.