AIML Resident - Privacy-Preserving Machine Learning (PriML)

Descripción del puesto:

Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level.
Apple's AIML Residency is a year-long program inviting experts in various fields to apply their own domain expertise to innovate and build revolutionary machine learning and AI-based products and experiences. As AI-based solutions spread across fields, the need for domain experts to understand machine learning and apply their expertise in ML settings grows. Residents will have the opportunity to attend ML and AI courses, learn from an Apple mentor closely involved in their program, collaborate with fellow residents, gain hands-on experience working on high-impact projects, publish in premier academic conferences, and partner with Apple teams across hardware, software, and services. At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience while protecting their privacy. Our team works to bring privacy enhancing technologies to our customers so that we can provide great features while keeping our privacy promises. You can find some recent work described at: - https://machinelearning.apple.com/research/differential-privacy-aggregate-trends
Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. Candidates should have experience completing a moderate-sized software project Demonstrated ability to connect and collaborate with others Graduate degree in a STEM field or equivalent industry experience in software engineering Apple's AIML residency is a one-year program starting in July 2026. Residents must be available to work full-time (40 hours/week) July 13, 2026 - July 9, 2027. Additionally, applicants who are currently enrolled in a degree program must graduate before this program commences on July 13, 2026
Ideal candidates will also have academic, research, or industry experience in one of the following: Applied Math/Statistics, Distributed Systems, Machine Learning & ML Research, Physics, or Privacy. Thesis, capstone project, internship, co-op, and/or proven experience in these fields qualifies We encourage you to submit a cover letter as part of your application explaining: What are your research interests? How do they apply to the specific Residency position you applied to? Why would you would like to join the AIML residency program broadly? APPLICATION DEADLINE: DECEMBER 15, 2025