Machine Learning Engineer, System Experience - Proactive
Apple Cupertino, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
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About the role
You will collaborate with cross-functional teams to build and integrate intelligent, on-device search capabilities into Apple platforms. The role involves designing reusable architectures and public-facing APIs while ensuring user privacy and system performance.
What they look for
Requirements
Candidates must have a bachelor's degree in Computer Science or a related field and at least 4 years of experience with Swift or Objective-C. Proficiency in search system development and the ability to work effectively across diverse technical teams are essential.
Full description
The Agentic Search team creates the next generation of intelligent, on-device search experiences across Apple products. In this role, you will collaborate with machine learning, app engineering, and infrastructure teams to build responsive, personalized capabilities powered by agentic technologies. You will partner across the company to design features that balance advanced intelligence with Apple's commitment to user privacy.
Description
As a Machine Learning Engineer on the System Experience team, you will integrate personal search technologies directly into applications across Apple platforms. You will design durable, reusable architectures and public-facing interfaces for third-party developers, incorporating data across multiple systems while upholding on-device privacy standards. This role requires close cross-functional partnership with OS framework, machine learning, and services teams to optimize system performance and tailor intelligent features for every Apple device.
Minimum Qualifications
Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. 4+ years of application development experience with Swift, Objective-C, or an equivalent high-level programming language on iOS or macOS. Experience developing search systems, including indexing and retrieval technologies. Experience collaborating cross-functionally and communicating technical concepts to diverse teams.
Preferred Qualifications
Experience designing public or system-level APIs and developer frameworks. Experience profiling, diagnosing, and optimizing system-level mobile software performance. Familiarity with machine learning principles or large language model fundamentals.
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