Research Software Engineer

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

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