<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body style="overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><span style="font-size: medium;">Dear Colleagues, </span><br><br><span style="font-size: medium;">Our team at Apple AIML has an opening for an AIML Resident to start in July 2026. AIML Residency is an Apple-wide program designed to promote interdisciplinary collaboration to solve challenging ML problems. </span><br><br><span style="font-size: medium;">About us: we’re a team of ML researchers interested in LLM interpretability, reasoning, and decision-making under uncertainty. </span><br><br><span style="font-size: medium;">About the position: we are looking for a 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 disciplines). Application deadline is December 15. </span><br><br><span style="font-size: medium;">This role would be a great fit for a recent PhD graduate or post-doc, a professor looking for a sabbatical, or a researcher looking to expand their scope.</span><br><br><span style="font-size: medium;">For more information and to apply, visit </span><a href="https://jobs.apple.com/en-us/details/200630783-3337/aiml-resident-machine-learning-research">https://jobs.apple.com/en-us/details/200630783-3337</a><span style="font-size: medium;">. If you have questions about the position, please reach out to </span><a href="mailto:interdisciplinary_ai_resident@apple.com">interdisciplinary-ai-resident@group.apple.com</a><span style="font-size: medium;">.</span><br><div>
<meta charset="UTF-8"><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div><br></div><div><br></div><div>Masha Fedzechkina Donaldson</div><div><span class="Apple-converted-space"> </span>Machine Learning Research</div><div>mfedzechkina@apple.com</div><div><br></div></div><br class="Apple-interchange-newline"><br class="Apple-interchange-newline">
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