Machine Learning Engineer, System Experience - Proactive
Seattle, WAFull-timeSeen 1w agoSeen in employer's feed 4 days ago
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Job overview
The Machine Learning Engineer will integrate personal search technologies into applications across Apple platforms. The role involves designing reusable architectures and public-facing interfaces for third-party developers, incorporating data across systems while upholding on-device privacy standards. The engineer will collaborate with OS framework, machine learning, and services teams to optimize system performance and tailor intelligent features for Apple devices.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200689638-3337
Summary
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
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Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
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4+ years of application development experience with Swift, Objective-C, or an equivalent high-level programming language on iOS or macOS.
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Experience developing search systems, including indexing and retrieval technologies.
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Experience collaborating cross-functionally and communicating technical concepts to diverse teams.
Preferred Qualifications
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Experience designing public or system-level APIs and developer frameworks.
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Experience profiling, diagnosing, and optimizing system-level mobile software performance.
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Familiarity with machine learning principles or large language model fundamentals.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
How this job compares
Set against the 5,888 open Machine Learning Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Washington median$160–241K/yr279 salary ranges
- US median$31–78/hr133 hourly ranges
- Openings
- Olive Jobs lists 343 open Machine Learning Engineer jobs in Washington and 5,888 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 4 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,725 postings).
- Education
- 2,412 of the 5,888 open Machine Learning Engineer jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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