Applied ML Engineer, Security - Defend Billions of Devices

Apple; Zürich; On-site; CHF 120,000 - 150,000; Full time

Job summary

Apple is seeking an Applied Machine Learning Engineer in Zürich, Switzerland, to enhance security across its products. The role involves collaboration with security research teams and the design of ML-enhanced systems for analyzing complex systems. Ideal candidates will have expertise in machine learning, especially with large language models, alongside strong software development skills in multiple programming languages. Apple values diversity and is committed to accessibility in the workplace. Join us to help protect Apple users worldwide.

Qualifications

• Expertise in ML, especially large language models and generative modeling.
• Strong enthusiasm for offensive security.
• Fluency in languages like C, C++, Python, Swift, Objective-C, Rust.

Responsibilities

• Integrate with security research teams to analyze complex systems.
• Design and develop ML-enhanced systems for security analysis.
• Collaborate with researchers to validate innovations in security evaluations.

Skills

Expertise in ML, especially large language models and generative modeling

Experience with and/or strong enthusiasm for security

Fluency with software engineering using C, C++, Python, Swift, Objective-C, Rust

Collaborative and effective problem-solving skills

Job description

Apple is seeking an Applied Machine Learning Engineer in Zürich, Switzerland, to enhance security across its products. The role involves collaboration with security research teams and the design of ML-enhanced systems for analyzing complex systems. Ideal candidates will have expertise in machine learning, especially with large language models, alongside strong software development skills in multiple programming languages. Apple values diversity and is committed to accessibility in the workplace. Join us to help protect Apple users worldwide.