Research Software Engineer: Scale AI Pipelines & Tools

Mistral; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Mistral is seeking a Research Engineer to design and harden the codebase, tools, and distributed services enabling researchers to train and ship frontier-scale models. You will join the Research Software Engineering team to build and maintain shared dev-tools, evaluation pipelines, training framework, cluster tooling and CI/CD.

You will work on Python and systems code, interfaces with product, and help scale complex pipelines while maintaining high reliability and observability across services.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Distributed systems

Code quality

Observability

Self-motivated

Education

Master’s in Computer Science

Tools

Kubernetes

SLURM

Docker

Job description

Mistral is seeking a Research Engineer to design and harden the codebase, tools, and distributed services enabling researchers to train and ship frontier-scale models. You will join the Research Software Engineering team to build and maintain shared dev-tools, evaluation pipelines, training framework, cluster tooling and CI/CD.

You will work on Python and systems code, interfaces with product, and help scale complex pipelines while maintaining high reliability and observability across services.