Description
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.
• 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.