Security ML Engineer – Offensive Analytics & Research

Lex; Paris; Sur place; EUR 155 000 - 198 000; Plein temps

Résumé du poste

Apple is seeking an Applied Machine Learning Engineer within its Security Engineering & Architecture group. You will develop ML-enhanced systems to identify vulnerabilities across Apple’s full stack, from silicon to applications, and collaborate with researchers to validate innovations during real-world security evaluations.

You will work with large language models and generative approaches to complement fuzzing, static/dynamic analysis, and manual inspection, shaping practical, scalable methods

Qualifications

• Expertise in ML, especially large language models and generative modeling.
• Experience with and/or strong enthusiasm for security, especially offensive security.
• Fluency with software engineering using languages such as C, C++, Python, Swift, Objective-C, Rust.

Responsabilités

• Design and develop ML-enhanced security systems at scale.
• Collaborate with security researchers to validate innovations during evaluations.
• Provide practical, scalable approaches to analyze large codebases and identify weaknesses.

Connaissances

Machine Learning

Security/Offensive Security

Programming Languages

Analytical Skills

Outils

Fuzzing Tools

Static Analysis

Reverse Engineering

Description du poste

Apple is seeking an Applied Machine Learning Engineer within its Security Engineering & Architecture group. You will develop ML-enhanced systems to identify vulnerabilities across Apple’s full stack, from silicon to applications, and collaborate with researchers to validate innovations during real-world security evaluations.

You will work with large language models and generative approaches to complement fuzzing, static/dynamic analysis, and manual inspection, shaping practical, scalable methods