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Machine Learning Engineer - Privacy-Preserving Personalization

Yesterday Cupertino, CA

Our team crafts intelligent personalization experiences for platforms like the App Store, Apple Music, and Apple TV+, reaching millions globally. Our work is guided by a steadfast dedication to user privacy. Looking ahead, we believe the future of personalization will prioritize on-device processing and demand robust privacy safeguards.

Description

We are looking for a talented engineer to tackle one of tech's most significant challenges: creating highly personalized and beneficial AI systems that prioritize privacy and compliance from the ground up. As an integral part of this mission, you will design and develop on-device machine learning solutions that not only enhance user experiences but also establish new benchmarks for trust and security in the industry.

This role involves significant coding on Apple platforms, optimizing models for edge computing, and acting as a vital connection between our machine learning goals and our foundational commitment to privacy.","responsibilities":"Build Privacy-Centric Systems: Deliver robust, production-level on-device machine learning solutions leveraging Apple frameworks such as CoreML.

Champion Privacy and Compliance: Lead efforts to translate intricate privacy guidelines and international regulations (like GDPR and CCPA) into specific, verifiable engineering implementations. Your contributions will be essential to our compliance framework.

Focus on Performance: Develop highly optimized, resource-efficient code, balancing model accuracy, battery usage, and memory usage on mobile platforms.

Comprehensive Ownership: Manage the entire on-device ML process, from model quantization and rollout to ongoing performance tracking and field updates.

Drive Collaboration and Leadership: Work closely with backend machine learning teams, legal and policy advisors, and app developers to create integrated, privacy-focused user experiences.

Preferred Qualifications

Generative AI and Agentic Systems Proficiency: Experience with designing or developing Generative AI systems, e.g. autonomous agents.

Implementing legal and policy mandates from regulations like GDPR and CCPA into engineering specifications and systems.

Hands-on experience utilizing Core ML and applying on-device model optimization methods, including quantization and pruning.

Familiarity with technologies like Differential Privacy and Federated Learning.

Minimum Qualifications

BS or MS in Computer Science, Statistics, or a related field, preferably with a focus on machine learning or data privacy.

Minimum of 3 years in software engineering, with a demonstrated ability to release production-quality code.

Systems Programming Skills: Strong grasp of systems engineering principles, with proficiency in compiled languages such as C, C++, Objective-C, or Swift.

Practical ML Experience: Involvement in developing and deploying machine learning models within a production environment (on-device or server-side).

Dedication to Privacy: A keen interest in tackling user privacy challenges, safeguarding data, and addressing the engineering complexities of building dependable and secure systems.

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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 .

Pay & Benefits

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 $181,100 and $318,400, 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.

Client-provided location(s): Cupertino, CA
Job ID: apple-200632828-0836_rxr-662
Employment Type: OTHER
Posted: 2026-03-11T19:36:01

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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