About The Position

The Agentic Search team creates intelligent, on-device search experiences across Apple products. The Machine Learning Engineer on the System Experience team integrates personal search technologies into applications across Apple platforms. The role involves designing durable, reusable architectures and public-facing interfaces for third-party developers, incorporating data across multiple systems while upholding on-device privacy standards. The engineer partners closely with OS framework, machine learning, and services teams to optimize system performance and tailor intelligent features for Apple devices.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Integrate personal search technologies directly into applications across Apple platforms.
  • Design durable, reusable architectures and public-facing interfaces for third-party developers.
  • Incorporate data across multiple systems while upholding on-device privacy standards.
  • Partner with OS framework, machine learning, and services teams to optimize system performance and tailor intelligent features for Apple devices.
  • Collaborate with machine learning, app engineering, and infrastructure teams to build responsive, personalized capabilities powered by agentic technologies.
  • Partner across the company to design features that balance advanced intelligence with user privacy.
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