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. Data Operations Capacity Planning u0026 Analytics operates in the data annotation / labeling space, providing internal services such as demand forecasting, capacity modeling scenarios, analyst utilization optimization, headcount planning, data products, metrics reporting, ad hoc analysis, and modeling u0026 experimentation. In service of these topics, you will have the opportunity to work on developing and building agent based workflows using LLMs to optimize internal processes, and improve automation.Ideal candidates will also have academic, research, or industry experience in one of the following: Information Extraction, Distributed Systems, Large Language Models / Generative AI, or Search and Information Retrieval. 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: Information Extraction, Distributed Systems, Large Language Models / Generative AI, or Search and Information Retrieval
  • 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

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