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. The Machine Learning Research team does world-class research and development across a wide range of domains, including language modeling and speech processing. During your residency, you will work with researchers across the team to build and explore spoken dialogue systems and speech language models. Check out some recent work from our team for more information: https://arxiv.org/abs/2407.15835 https://arxiv.org/abs/2509.00078 https://arxiv.org/abs/2510.13632Ideal candidates will also have academic, research, or industry experience in one of the following: Machine Learning u0026 ML Research, Natural Language Processing/Speech/Conversational AI, or Large Language Models / Generative AI. 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, 2025Array
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Career Level
Intern
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees