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

• Integrating deeply with security research teams to understand the challenges of analyzing large, complex systems across Apple’s full stack
• Designing and developing ML‑enhanced systems to complement other analysis methods
• Leveraging raw data and expert behavior to create practical, scalable approaches to help researchers navigate vast codebases
• Collaborating regularly with security researchers to validate and challenge your innovations

Perks and Benefits

• Rare exposure to a full‑stack view of security along with direct access to expert knowledge, unique datasets, and cross‑domain experience
• Contributions will materially raise the security of products used by billions and strengthen Apple’s ability to defend against adversaries
• Opportunity to join an extraordinary group of security researchers, tool developers, and machine learning experts