Applied Machine Learning Engineer

Requirements

• 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
• Collaborative and effective problem-solving and analytical skills

Nice to Haves

• Familiarity with software-analysis techniques such as fuzzing, static analysis, code-analysis tooling, reverse engineering, binary-analysis
• Familiarity with security mitigations in modern operating systems

What You'll Be Doing

• Integrate deeply with security research teams to understand challenges of analyzing large, complex systems
• Design and develop ML-enhanced systems using various approaches to complement other analysis methods
• Collaborate regularly with security researchers to validate and challenge innovations during real-world security evaluations

Perks and Benefits

• Rare exposure to a full stack view of security
• Direct access to expert knowledge, unique datasets, and cross-domain experience
• Opportunity to contribute to raising the security of products used by billions and strengthen Apple’s ability to defend against adversaries