Research Software Engineer: Scalable AI Pipelines & Tools

Mistral

Paris

Hybride

EUR 90 000 - 140 000

Plein temps

14 jours+

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Résumé du poste

Mistral is seeking a Research Engineer to strengthen the software side of frontier-scale AI systems. You will design and harden code, tools and distributed services that enable scientists to train and ship models, with a focus on reliability and scale.

Join our Research Software Engineering team to build shared dev-tools, evaluation pipelines, training framework, cluster tooling and CI/CD, spanning Paris, remote EU, and occasional hub visits.

Qualifications

  • Master's in Computer Science or equivalent experience.
  • 4+ years building and operating large-scale 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 / SLURM, or similar).
  • Comfortable profiling performance, optimising I/O, and automating workflows.
  • Self-starter, collaborative and high-energy.

Responsabilités

  • 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.

Connaissances

Python
Distributed systems
CI/CD
Software design
Observability

Formation

Master's in Computer Science
Equivalent experience

Outils

Kubernetes
SLURM
CI/CD tooling

Description du poste

Mistral is seeking a Research Engineer to strengthen the software side of frontier-scale AI systems. You will design and harden code, tools and distributed services that enable scientists to train and ship models, with a focus on reliability and scale.

Join our Research Software Engineering team to build shared dev-tools, evaluation pipelines, training framework, cluster tooling and CI/CD, spanning Paris, remote EU, and occasional hub visits.

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