Security ML Engineer: AI-Driven Vulnerability Analysis

Apple; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Apple’s Security Engineering & Architecture team seeks an Applied Machine Learning Engineer to build AI-enhanced security tools. You will work with researchers and developers to design scalable ML-powered analyses that complement fuzzing, static and dynamic analysis, and manual review.

You will collaborate with security experts to validate innovations in real-world evaluations, shaping methods that help protect billions of users across Apple platforms.

Formación

• Solid understanding of machine learning algorithms, including supervised, unsupervised and reinforcement learning.
• Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen for multi-step, tool-assisted workflows.
• Familiarity with MLOps practices: versioning, CI/CD, experiment tracking (MLflow or similar).
• Strong software engineering skills in Python, C, C++, Swift or Objective-C.
• Collaborative and analytical problem-solving abilities.

Responsabilidades

• Collaborate with security researchers to design AI-enhanced analysis tools.
• Develop and prototypes using large language models and agentic workflows.
• Integrate ML methods with fuzzing, static & dynamic analysis and manual review.
• Validate innovations during real-world security evaluations and projects.

Conocimientos

ML algorithms

Agentic frameworks

MLOps

Programming languages

Collaboration

Descripción del empleo

Apple’s Security Engineering & Architecture team seeks an Applied Machine Learning Engineer to build AI-enhanced security tools. You will work with researchers and developers to design scalable ML-powered analyses that complement fuzzing, static and dynamic analysis, and manual review.

You will collaborate with security experts to validate innovations in real-world evaluations, shaping methods that help protect billions of users across Apple platforms.