About the role

Aplyr's Quick Take

This role is about developing and managing data infrastructure for AI model training at Mistral AI. You'll work on building high-performance compute systems and data lakes, focusing on scalability and orchestration across multiple clusters. It's primarily an individual contributor role with a technical emphasis.

Good fit

Ideal candidates have a strong background in data engineering or infrastructure, with experience in cloud environments and Kubernetes. A collaborative mindset and comfort with complex systems will help you thrive here.

Worth noting

The position offers a hybrid or remote work option within the EU/UK, but requires one in-person meeting per month. The role is part of a rapidly evolving team focused on cutting-edge AI technologies, which may appeal to those looking for a fast-paced environment.

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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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

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.

Skills & Tags

python go kubernetes ai data product design

Aplyr's read

Mistral AI is at the forefront of AI innovation, attracting talent keen on advancing natural language processing and machine understanding.
Synthesized from recent postings & public sources

What's promising

•Mistral AI focuses on cutting-edge natural language processing technology.
•The company has a diverse range of roles, indicating growth and expansion.
•Mistral AI's work aims to improve automation across various industries.

What to watch

•Limited public information about the company's financial stability.
•Potentially high competition in the AI sector could impact market share.
•Rapid technological changes may require constant adaptation and learning.

Why Mistral AI

•Mistral AI specializes in enhancing machine understanding of human language.
•The company hires globally, indicating a commitment to diverse perspectives.
•Mistral AI's focus on natural language processing sets it apart in the AI field.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Mistral AI

Mistral AI

mistral.ai

View company

Mistral AI is an innovative company focused on developing advanced AI models and solutions, particularly in the realm of natural language processing. Their work aims to enhance machine understanding and generation of human language, impacting various industries by improving automation and efficiency.