AIML Resident - Privacy-Preserving Machine Learning (PriML)
About The Position
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-trendsIdeal candidates will also have academic, research, or industry experience in one of the following: Applied Math/Statistics, Distributed Systems, Machine Learning u0026 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?
Nice To Haves
- academic, research, or industry experience in one of the following: Applied Math/Statistics, Distributed Systems, Machine Learning u0026 ML Research, Physics, or Privacy
- Thesis, capstone project, internship, co-op, and/or proven experience in these fields
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What This Job Offers
Career Level
Intern
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
