Research Engineer - Cybersecurity (RL Environments)

Job summary

Responsibilities

Cybersecurity is one of the areas where AI could do the most good — and one where the capability must be built with particular care. As a Research Engineer on this track, you'll push our models' capabilities in vulnerability discovery and remediation, security analysis, incident response, and…

• Design and implement RL environments simulating cybersecurity scenarios.
• Build the pipelines and infrastructure that generate synthetic cybersecurity training instances at scale — thousands of scenarios, not one hand-crafted exercise.
• Conduct experiments and evaluations of model capabilities on these environments, from quick prototypes to controlled benchmark runs.
• Own the infrastructure behind the environments: containers, sandboxes, VMs, cloud deployments, and orchestration (Kubernetes), all managed as code.
• Partner with researchers and security specialists across Mistral, distilling their domain expertise into reproducible environments and datasets.

What they're looking for

• Hands-on expertise in offensive and/or defensive cybersecurity: vulnerability analysis, web/network/cloud security, secure coding practices, and SOC.
• Strong software engineering skills: clean, reliable, well-tested code — not just exploit scripts.
• Fluency in Python plus comfort reading lower-level languages (C/C++) for vulnerability analysis.
• DevOps experience: Docker, Kubernetes, cloud deployments, sandboxed or simulated environments.
• A pragmatic research-to-engineering mindset: ship a working first version, then refine and scale it.

Tech stack

• Kubernetes
• Python
• C++
• Docker