Machine Learning Engineer, System Experience - Proactive

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Machine Learning Engineer for the System Experience team in Cupertino to integrate on-device personal search technologies across Apple platforms. You will design durable architectures and public interfaces for developers, balancing advanced intelligence with stringent on-device privacy.

You will partner with OS framework, ML, and services teams to tailor features for iOS, macOS, and upcoming devices, ensuring scalable, efficient, and privacy-preserving search capabilities.

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.

Responsibilities

• Integrate on-device personal search technologies with system applications across iOS, macOS, and other Apple platforms.
• Design and build reusable software architectures, frameworks, and developer-facing APIs built for long-term scalability.
• Partner with cross-functional machine learning, OS framework, and services teams to adapt and optimize technologies for mobile constraints.
• Incorporate multi-system data streams into unified search experiences while safeguarding user privacy on-device.
• Balance system trade-offs, profiling, and runtime performance to deliver responsive user experiences.

Skills

Swift

Objective-C

Cross-functional collaboration

Education

Bachelor's degree in CS or related field

Job description

Machine Learning Engineer, System Experience - Proactive

Cupertino, California, United States Machine Learning and AI

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.

Responsibilities

• Integrate on-device personal search technologies with system applications across iOS, macOS, and other Apple platforms.
• Design and build reusable software architectures, frameworks, and developer-facing APIs built for long-term scalability.
• Partner with cross-functional machine learning, OS framework, and services teams to adapt and optimize technologies for mobile constraints.
• Incorporate multi-system data streams into unified search experiences while safeguarding user privacy on-device.
• Balance system trade-offs, profiling, and runtime performance to deliver responsive user experiences.

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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.