Barcelona, Barcelona, Spain Machine Learning and AI Apple's Security Engineering & Architecture organization is responsible for the security of all Apple products. When it comes to securing more than a billion devices running the world's most sophisticated operating systems, that means finding vulnerabilities first. Our mission is to discover, understand, and exploit vulnerabilities across all layers of Apple's platforms, and we believe that ML techniques significantly enhance our ability to do so.

We are seeking an Applied Machine Learning Engineer who will help us invent and deliver these new methods and techniques. This position provides rare exposure to a full‐stack view of security along with direct access to expert knowledge, unique datasets, and cross‐domain experience. Join our extraordinary group of security researchers, tool developers, and machine learning experts,



and help protect all Apple users.

Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) and evaluation methods Strong software engineering and programming skills in languages like Python, C, C++, Swift, Objective-C Experience scaling LLM training and fine-tuning (pretraining, SFT, alignment) Familiarity with software‐analysis techniques such as fuzzing, static analysis, code‐analysis tooling, reverse engineering, binary‐analysis At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools.

📌 Applied Machine Learning Engineer - SEAR (Barcelona)
🏢 Apple
📍 Barcelona