Machine Learning Engineer, System Experience - Proactive
Summary
Builds on-device, privacy-focused intelligent search experiences for Apple platforms as part of the Agentic Search team, integrating personal search tech into apps and designing reusable architectures and public APIs for third-party developers. Core work involves Swift/Objective-C development on iOS/macOS, search indexing/retrieval systems, and cross-functional collaboration with ML, OS framework,
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.
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.