Research Engineer, Data Infrastructure

Mistral; Paris; Sur place; EUR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Competitive salary & equity

Food vouchers

Gym membership

Mobility stipend

Health insurance

Parental leave

Visa sponsorship

Pension plan

Résumé du poste

Mistral AI is seeking a Research Engineer for Data Infrastructure to help design and operate the backbone of our training and fine-tuning ecosystem. You will contribute to scalable compute fleets and data fabrics across on-premise and cloud-native environments.

You will own lifecycle tasks from migration away from legacy orchestrators to implementing robust pipelines, with on-call rotations for critical workloads in a fast-growing AI setting.

Qualifications

• 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.
• Experience supporting foundational compute and storage platforms.
• Proficiency in Python and modern, columnar storage standards.
• Kubernetes-native tooling and debugging large-scale distributed systems.

Responsabilités

• Design and scale massive compute fleets and storage systems for high performance.
• Migrate from legacy schedulers and build production-grade pipelines.
• Participate in on-call rotations for critical training jobs.

Connaissances

Python

Kubernetes

Distributed systems

MLOps

Description du poste

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. See more about our culture on https://mistral.ai/careers.

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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.

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
• France: Food - Daily lunch vouchers
• France: Sport - Monthly contribution to a Gympass subscription
• France: Transportation - Monthly contribution to a mobility pass
• France: Health - Full health insurance for you and your family
• France: Parental - Generous parental leave policy
• France: Visa sponsorship
• UK: Competitive cash salary and equity
• UK: Insurance
• UK: Transportation - Reimburse office parking charges, or £90 per month for public transport
• UK: Sport - £90 per month reimbursement for gym membership
• UK: Meal voucher - £200 monthly allowance for meals
• UK: Pension plan - SmartPension (5% Employee & 3% Employer)
• Applicant Privacy Policy applies to applications