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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 premier academic conferences, and partner with Apple teams across hardware, software, and services.Modern large language models (LLMs) show impressive abilities on a variety of tasks. However, despite their increasing deployment in real-life scenarios, LLMs essentially remain โa black box systemโ with a lot of unknowns still remaining about their internal mechanisms. Weโre a team of ML researchers interested in LLM interpretability, reasoning, and decision-making under uncertainty. Given the complex nature of modern LLMs, we believe progress on these questions in the ML domain can be made through an interdisciplinary collaboration with researchers exploring similar questions in the human brain. We are looking for PhD or above-level candidates whose research combines computational and statistical methods with a focus on information processing, decision making, reasoning or related questions in a human-centered field (e.g., cognitive science, neuroscience, linguistics or related subject areas).
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