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Research Engineer - Cybersecurity (RL Environments)

Mistral AIParisScience
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
25 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

Mistral is seeking a Research Engineer in Cybersecurity focusing on Reinforcement Learning environments to join the team in Paris or remotely. This full-time role suits professionals who want to advance frontier AI models in vulnerability discovery, remediation, and secure analysis safely and deliberately.

Key Responsibilities

Design and implement RL environments that simulate realistic cybersecurity scenarios.
Build robust pipelines and infrastructure to generate synthetic cybersecurity training instances at scale, moving beyond hand-crafted exercises.
Conduct experiments and evaluations of model capabilities within these environments, ranging from quick prototypes to controlled benchmark runs.
Manage and own the infrastructure supporting the environments, including containers, sandboxes, virtual machines, cloud deployments, and orchestration via Kubernetes managed as code.
Partner closely with researchers and security specialists across the organization to distill domain expertise into reproducible environments and datasets.
Write clean, efficient code in Python and enforce strong software-design practices such as rigorous testing, code reviews, and CI/CD.

Requirements

Hands-on expertise in offensive and/or defensive cybersecurity, including vulnerability analysis, web, network, and cloud security, secure coding practices, and SOC operations.
Strong software engineering skills with the ability to produce clean, reliable, well-tested code rather than only exploit scripts.
Fluency in Python programming alongside comfort reading lower-level languages like C and C++ for vulnerability analysis.
DevOps experience covering Docker, Kubernetes, cloud deployments, and sandboxed or simulated environments.
A pragmatic research-to-engineering mindset geared toward shipping working initial versions before refining and scaling them.
Working knowledge of reinforcement learning techniques and large language model training methodologies, or a strong motivation to learn them.
Self-starter attitude, low ego, and strong collaborative skills to work effectively across research and engineering functions.

Nice to Have

Experience participating in, authoring challenges for, or building platforms for CTFs, cyber-ranges, or bug-bounties.
An academic or industrial research background in cybersecurity or another experimental discipline.
Prior experience building reinforcement learning environments or large-scale machine learning training infrastructure.
Relevant open-source contributions and personal projects.

Skills and Tools

Python
Kubernetes
Docker
C++
LLMs
Reinforcement Learning
DevOps

About the Company

Mistral provides full-stack artificial intelligence solutions ranging from frontier models to developer tools, applications, and compute. The company partners with enterprises across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector to co-create customized AI systems. Operating with a dynamic, collaborative, and low-ego team, Mistral has a globally distributed workforce across Europe, North America, Asia, and the Middle East.

How to Apply

Interested candidates should visit the official Mistral careers page to submit an application.

Skills and tech stack

PythonLLMKubernetesDockerC++

Questions candidates ask

What is the primary focus of this role?

The role focuses on developing reinforcement learning environments and synthetic training pipelines for cybersecurity capabilities within frontier AI models.

Where is the position located?

The job is based in Paris with remote work options available, as Mistral has distributed teams.

What programming languages are required?

Fluency in Python is required, along with comfort reading lower-level languages such as C and C++ for vulnerability analysis.

What DevOps skills are needed?

Candidates need experience with Docker, Kubernetes, cloud deployments, and managing sandboxed or simulated environments as code.

How can I apply for this position?

You can apply by visiting the official company careers page on the Mistral website.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site