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Software Engineer - Research Team

Mistral AI • No location specified • Full-time

$80,000

per year

Software Engineering Python Machine Learning Kubernetes Distributed Systems

Job Description

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 needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

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

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 Platform REs 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, optimising I/O, and automating workflows.

-Self-starter, low-ego, collaborative, high-energy.

Nice-to-haves

-Exposure to ML workloads or data-processing pipelines.

-Experience with GPU clusters or CUDA.

-Open-source contributions or widely used internal tools.