Applied Science - Cybersecurity

Job summary

Responsibilities

Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop SOTA models across different domains of cybersecurity, from vulnerability analysis to incident response and remediation.

• Develop, pre-train and post-train domain-specialized foundation models for agentic defensive security.
• Work across a diverse set of complex real world problems to build the future of AI for cybersecurity.
• 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, and generate and curate the training data for training frontier models.
• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.

What they're looking for

• Fluent in English with excellent communication skills: at ease explaining complex technical to both technical and non-technical audiences.
• Experience building harnesses, benchmarks or RL environments for code, agentic or security tasks.
• Hands-on security background in one or more of: vulnerability research, exploit development, red teaming, or detection and incident response.
• Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
• Writes clean, readable, high-performance, fault-tolerant Python code.

Tech stack

• Python