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Appleโs 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 world-class academic conferences, and partner with Apple teams across hardware, software, and services.The AIML Answers, Knowledge and Information team is creating groundbreaking technology for AI, ML, and NLP! The features we create redefine how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop pioneering LLM-based generative AI technologies to power innovative features in both Appleโs devices and services on the cloud. As a Resident on this team, you'll conduct large-scale ML and deep learning research and development. Your R&D efforts aim to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data), Summarization, and the fundamental building blocks of Artificial Intelligence. This involves developing sophisticated LLMs to: understand user queries, retrieve and rank relevant documents across multiple sources, and synthesize information to provide users with a direct answer that best satisfies their intent and information seeking needs. Additionally, you'll research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. Residents collaborate with researchers and data scientists to develop, fine-tune, and evaluate domain specific LLMs for various tasks and applications in Appleโs AI powered products. Our team also conducts applied research to transfer the latest research in generative AI to production ready technologies.
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