Frontier Cybersecurity AI Scientist

Mistral

Paris

On-site

EUR 90,000 - 130,000

Full time

5 days ago
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Job summary

Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop domain-specialized foundation models, design rigorous evaluations, and create sandboxed environments with RL tasks.

You’ll generate data, build tools, and own delivery across sprints while collaborating with science, engineering and product teams to deliver trustworthy AI for security. Ideal candidates have a PhD or Master in mathematics, security, or machine learning, strong Python skills, and a

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.
  • Writes clean, readable Python code; comfortable with large codebases.

Responsibilities

  • Develop, pre-train and post-train domain-specific foundation models for cybersecurity.
  • Design evaluations and benchmarks measuring realistic security capabilities.
  • Build sandboxed execution environments, RL tasks, and verifiers grounded in real workflows.
  • Generate and curate training data; develop tools/frameworks for data gen, training, eval and deployment.
  • Own technical delivery across project sprints and communicate research with customer teams.

Skills

English fluency
Python programming
RL environments
Cybersecurity experience

Education

PhD / Master in Mathematics, Security or ML

Job description

Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop domain-specialized foundation models, design rigorous evaluations, and create sandboxed environments with RL tasks.

You’ll generate data, build tools, and own delivery across sprints while collaborating with science, engineering and product teams to deliver trustworthy AI for security. Ideal candidates have a PhD or Master in mathematics, security, or machine learning, strong Python skills, and a

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