Applied Scientist: Frontier AI for Cybersecurity

Academic Key; Paris; Hybrid; EUR 110,000 - 160,000; Full time

Job summary

Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop SOTA models across cybersecurity domains, from vulnerability analysis to incident response and remediation, and work with teams to deliver trustworthy AI for security.

You will design, evaluate and curate data and tooling to support model training, evaluation and deployment, collaborating with science, engineering and product teams to deliver impact at scale.

Qualifications

• Fluent in English with excellent communication skills.
• Experience building harnesses, benchmarks or RL environments for code, agentic or security tasks.
• Hands-on security background in vulnerability research, exploit development, red teaming, or detection and incident response.
• Strong Python development skills and ability to work in large codebases.

Responsibilities

• Develop, pre-train and post-train domain-specific foundation models for agentic defensive security.
• Design evaluations and benchmarks that measure realistic security capability on customer-representative tasks.
• Build sandboxed execution environments, RL tasks, and verifiers grounded in real customer workflows; curate training data.
• Develop tools and frameworks to facilitate data generation, model training, evaluation and deployment.
• Own technical delivery across project sprints and manage research communications with customer teams.

Skills

English communication

Python

Security concepts

Research communication

Education

PhD / Master in Mathematics, Security or Machine Learning

Job description

Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop SOTA models across cybersecurity domains, from vulnerability analysis to incident response and remediation, and work with teams to deliver trustworthy AI for security.

You will design, evaluate and curate data and tooling to support model training, evaluation and deployment, collaborating with science, engineering and product teams to deliver impact at scale.