Research Software Engineer
Indexed description
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
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.
Location: Paris / Warsaw / Zurich / London (hybrid) or remote EU/UK with one hub visit per month.
What Will You Do
- 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 You
- 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.
- for the first week of their onboarding (accommodation and travelling covered)
- then at least 3 days per month
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search