Research Software Engineer

Who you are

• 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
• Exposure to ML workloads or data-processing pipelines
• Experience with GPU clusters or CUDA
• 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 Research Software Engineering 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 ↔ production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve

Benefits

• Competitive bonus structure
• Equity
• Opportunities for professional growth and development