Research Software Engineer

Mistral AI; Greater London; Sur place; GBP 50 000 - 80 000; Plein temps

Résumé du poste

Deepstreamtech is looking for a Research Engineer based in London to design and develop distributed systems for training frontier-scale models. You'll be responsible for writing clean, reliable code in Python and systems languages, while maintaining tools and internal pipelines. The ideal candidate has a Master’s in Computer Science and over 4 years of experience in large-scale systems development. Exposure to machine learning workflows is a plus. Join a collaborative team committed to innovation.

Qualifications

• 4+ years building and operating large-scale or distributed systems.
• Strong software-design instincts: modular code, tests, CI/CD, observability.
• Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar).

Responsabilités

• Design and harden the codebase, tools, and distributed services for training frontier-scale models.
• Build and maintain shared dev-tools, evaluation & data pipelines, training framework, and cluster tooling.
• Interface research with product: expose clean APIs, automate model pushes, surface live metrics.

Connaissances

Python

C++

Rust

Go

Java

Kubernetes

SLURM

Formation

Master’s in Computer Science or equivalent experience

Description du poste

Requirements

• 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


• (Desirable) Exposure to ML workloads or data-processing pipelines


• (Desirable) Experience with GPU clusters or CUDA


• (Desirable) Open‑source contributions or widely used internal tools

What the job involves

• 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


• 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


• Based in Paris and London, our REs move fluidly along the research and production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve