Applied Machine Learning Engineer (Security)

TL;DR

Applied Machine Learning Engineer (Security): Develop ML-enhanced security systems integrating large language models and generative modeling to identify vulnerabilities across hirify.global's full stack. Focus on designing scalable, practical approaches to assist security researchers in analyzing complex systems and attack surfaces.

Location: Remote, based in Paris, Ile-de-France, France

Company

hirify.global is a global technology corporation specializing in software and hardware products with a strong focus on security engineering and architecture.

What you will do

• Integrate with security research teams to understand challenges across hirify.global's full stack security layers.
• Design and develop ML-enhanced systems using large language models, generative modeling, and agentic workflows.
• Leverage raw data and expert behavior to create scalable approaches for vulnerability detection.
• Collaborate with security researchers to validate innovations during real-world security evaluations.

Requirements

• Location: Must be based in or able to work remotely from Paris, Ile-de-France, France
• Expertise in machine learning, especially large language models and generative modeling.
• Experience or strong enthusiasm for offensive security.
• Proficiency in software engineering languages such as C, C++, Python, Swift, Objective-C, and Rust.
• Collaborative problem-solving and analytical skills.

Nice to have

• Familiarity with software-analysis techniques like fuzzing, static analysis, reverse engineering, and binary analysis.
• Knowledge of security mitigations in modern operating systems.