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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5bc76aca-281"},"title":"Research Engineer, Data Infrastructure","description":"<p>About Mistral AI</p>\n<p>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.</p>\n<p>We are a dynamic team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.</p>\n<p>Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.</p>\n<p>Join us to be part of a pioneering company shaping the future of AI.</p>\n<p>Together, we can make a meaningful impact.</p>\n<p>Role Summary</p>\n<p>Research Engineer, Data Infrastructure</p>\n<p>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.</p>\n<p>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.</p>\n<p>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.</p>\n<p>We are leading a strategic transition from legacy scheduling to modern orchestration.</p>\n<p>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.</p>\n<p>Our mission is to evolve our current systems into a platform that is as durable as it is flexible.</p>\n<p>Location: Paris / London (hybrid) or remote EU/UK with one hub day per month.</p>\n<p>About the Role</p>\n<p>This role focuses on building and operating the next generation of data infrastructure at Mistral AI.</p>\n<p>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.</p>\n<p>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.</p>\n<p>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.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Build &amp; Scale: Help us reach our goal of operating massive distributed compute and storage systems</li>\n</ul>\n<ul>\n<li>Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.</li>\n</ul>\n<ul>\n<li>Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Metadata &amp; Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering.</li>\n</ul>\n<ul>\n<li>Have experience or a strong interest in supporting foundational compute and storage platforms.</li>\n</ul>\n<ul>\n<li>Are proficient in Python and enjoy solving the &quot;brittle data lake&quot; 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As a Forward Deployed Engineer, you will work directly with enterprise customers to help them deploy, scale, and operationalize their AI workloads on Fal. This is a highly technical, customer-facing role where you&#39;ll act as the bridge between Sales, Product and Infrastructure teams.</p>\n<p>You&#39;ll join customer calls, deeply understand their architecture and needs, and translate those into actionable implementation plans and product requirements. 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