Applied Scientist, Cybersecurity AI Frontier

Lindus Health Limited; Greater London; Remote; GBP 90,000 - 140,000; 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, building the environments, training data pipelines, and evaluations that make these capabilities real and measurable.

You will work closely with cybersecurity actors and production data, and cross-functionally with science, engineering, and product teams to deliver trustworthy AI for security.

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.
• Not afraid of contributing to a big codebase; navigates independently with little guidance.
• Writes clean, readable Python code.
• Doesn’t need roadmaps and works with ambiguity.
• Low-ego, collaborative and eager to learn.

Responsibilities

• Develop, pre-train and post-train domain-specialized foundation models for agentic defensive security.
• Work across complex real-world problems to build the future of AI for cybersecurity.
• Design evaluations and benchmarks measuring realistic security capability on customer tasks.
• Build sandboxed execution environments, RL tasks, and verifiers grounded in real customer workflows; generate training data.
• Develop tools and frameworks to facilitate data generation, model training, evaluation and deployment.
• Own technical delivery across project sprints and communicate with customer teams.

Skills

English fluency

Security research

RL environments

Python coding

Independent work

Navigate codebases

Education

PhD / MSc in ML / Security / Math

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, building the environments, training data pipelines, and evaluations that make these capabilities real and measurable.

You will work closely with cybersecurity actors and production data, and cross-functionally with science, engineering, and product teams to deliver trustworthy AI for security.