Research Engineer - Cybersecurity (RL Environments)

Mistral.ai; Paris; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Mistral is seeking a Research Engineer to advance cybersecurity capabilities across RL environments, training pipelines, and evaluation frameworks. You will bridge research and engineering by building scalable infrastructure and collaborating with security specialists to produce reproducible environments and data for frontier AI models.

Join a distributed team focused on secure, scalable AI systems, with hands-on Python and DevOps work, and opportunities to shape production training runs for

Qualifications

• Hands-on expertise in offensive and/or defensive cybersecurity.
• Strong software engineering with clean, well-tested code.
• Fluency in Python and reading C/C++ for vulnerability analysis.
• DevOps experience: Docker, Kubernetes, cloud deployments, sandboxed environments.
• Pragmatic research-to-engineering mindset: ship a working first version, then scale.

Responsabilités

• Design and implement RL environments simulating cybersecurity scenarios.
• Build pipelines and infrastructure that generate synthetic cybersecurity training instances at scale.
• Conduct experiments and evaluations of model capabilities on these environments.
• Own the infrastructure behind the environments: containers, sandboxes, VMs, cloud deployments, and orchestration (Kubernetes).
• Partner with researchers and security specialists across Mistral to distill domain expertise into reproducible environments and datasets.
• Write clear, efficient Python code and enforce strong software-design practices: testing, code review, CI/CD.

Connaissances

Python

Security analysis

Offensive/defensive cybersecurity

DevOps

Kubernetes

RL techniques

LLM training

Software engineering

C/C++

Outils

Docker

Kubernetes

Description du poste

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

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.

The Role

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 across the offensive-to-defensive spectrum of cybersecurity, and it will be your job to develop that ability deliberately and safely.

The work sits at the meeting point of research and engineering: you'll devise new approaches and be the one to implement them. Concretely, that means designing and building RL environments that reproduce realistic security scenarios, pipelines that generate synthetic training instances at scale, and experiments and evaluations that show what our models can actually do. Your results feed directly into the production training runs that shape our frontier models, in close collaboration with Mistral's researchers, engineers, and security specialists.

Security specialists and ML engineers are both welcome here — what matters is that you can hold your own in both worlds, and are eager to go deeper on the one you know less.

What You Will Do

• 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.

• Write clear, efficient code in Python and enforce strong software-design practices: testing, code review, CI/CD.

What We'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.

• Working knowledge of RL techniques and LLM training methodologies, or strong motivation to develop it.

• Self-starter, low-ego, collaborative — comfortable working across research and engineering.

Nice-to-haves

• CTF, cyber-range, or bug-bounty experience — as a player, challenge author, or platform builder.

• A research background in cybersecurity, academic or industrial, or in another experimental discipline.

• Prior experience building RL environments or large-scale ML training infrastructure.

• Relevant open-source contributions and projects.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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