Research Software Engineer - Paris London
Research Software Engineer role at Mistral AI, focusing on AI technology, high-performance models, and open-source solutions, with a comprehensive AI platform and cutting-edge products.
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 – Software Engineering track
As a Research Engineer on the software side, you will design and harden the codebase, tools and distributed services that let our scientists train and ship frontier-scale models. You do not need prior ML experience; what matters is writing clean, reliable code that scales.
You will join our Research Software Engineering team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD.
Location: Paris / London (hybrid) or remote EU/UK with one hub day per month.
What will you do
• Accelerate researchers by owning the complex parts of large-scale pipelines and delivering robust internal tooling.
• Interface research with product: expose clean APIs, automate model pushes, surface live metrics.
• Write efficient, well-tested Python and systems code; enforce code review, CI, and observability.
• Design and optimise distributed services (Kubernetes / SLURM, thousands-of-GPU jobs).
• Prototype utilities (CLI, dashboards) and carry them through to stable, shared libraries.
About the Research Engineering team
Based in Paris and London, our REs move fluidly along the research ↔ production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve.
About you
• Master’s in Computer Science (or equivalent experience).
• 4 + years building and operating large-scale or distributed systems.
• Strong software-design instincts: modular code, tests, CI/CD, observability.
• Fluency in Python plus one systems language (C++, Rust, Go or Java).
• Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar).
• Comfortable profiling performance, optimis
Posted June 5, 2026