Summary
Apple's Security Engineering & Architecture organization is responsible for the security of all Apple products. Passionate about safeguarding users, we believe that the best defense requires a great offense. 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 ML techniques have already significantly enhanced our ability to do so. We're hiring an AI/ML Engineer to join the team building and improving these systems.

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. Your contributions will materially raise the security of products used by billions and strengthen Apple’s ability to defend against adversaries.

Can you make a difference on this scale? Join our extraordinary group of security researchers, tool developers, and machine learning experts, and help protect all Apple users.

Description
In this role, you will design and develop AI-enhanced systems that help security researchers navigate vast codebases, reason about intricate attack surfaces, and identify subtle weaknesses. Your systems will sit alongside and amplify the techniques the field already relies on: fuzzing, static and dynamic analysis, code review, and more. The scope is unusually broad, spanning the full stack: custom silicon and micro-architecture, boot ROMs, firmware, kernels, system frameworks, browsers, and user applications.

To keep Apple ahead of emerging techniques, you will track the state of the art in fundamental and applied AI, and translate the ideas that hold up into practical, production-grade security tools. Alongside security researchers, you will put those systems through real security evaluations, which is the only feedback signal that tells you what's actually landing.

As part of a fast-moving team, you will help build the software that lets Apple's products defend against advanced threats, strengthen critical security processes, and protect customers around the world. If the idea of doing frontier ML work with direct, measurable impact on Apple's security posture, and doing it at one of the most diverse and inclusive companies in the world, excites you, we'd love to hear from you.

Minimum Qualifications

• Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) and evaluation methods
• Hands-on experience with agents design and frameworks, including MCP/tools, observability, evaluations, and self-improvement loops
• Strong software engineering and programming skills in languages like Python, C, C++, Swift and Objective-C
• Collaborative and effective problem-solving and analytical skills
  
  

Preferred Qualifications

• Experience scaling LLM training and fine-tuning (pretraining, SFT, alignment)
• Strong enthusiasm for security
• Familiarity with software‑analysis techniques such as fuzzing, static analysis, code‑analysis tooling, reverse engineering and binary-analysis
  
  

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

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. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200624074-2911