Applied Machine Learning Engineer - SEAR
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What you'll do
- Invent and deliver new ML methods and techniques to enhance security capabilities.
- Discover, understand, and exploit vulnerabilities across all layers of Apple’s platforms.
- Collaborate with security researchers, tool developers, and machine learning experts.
- Strengthen Apple’s ability to defend against adversaries.
What they're looking for
- Experience applying machine learning techniques to complex problems
- Background in security engineering or vulnerability research
- Ability to work with large, unique datasets
- Understanding of full-stack security architectures
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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 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. 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.
Company
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