Job Details

Weekly Hours: 40

Role Number: 200632828-0836

Summary

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.

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.

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.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .