ISE, SIML - Researcher in Scene Understanding (SUN) at Apple (Cupertino, CA)
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Location: Cupertino, CA
Type: Full Time
Created: 2021-07-05 05:00:54
Are you interested in making an extensive and impactful contribution to Machine Learning at Apple? Our Scene Understanding (SUN) team is hiring an experienced technical leader in Applied R&D. SUN is comprised of researchers who own a variety of production ML workflows that surprise and delight millions of our customers! We contribute to a variety of shipping workflows you may already regularly use, including: Photos Search, Curation, Memories, Intelligent Autocrop, Visual Captioning for Accessibility, Federated Learning on visual content, Real time Classification & Saliency in Camera, Semantic Segmentation in Camera, and several on-device backbones across the system. Further, several of our projects are surfaced to third party developers through Vision & CoreML. Shipping APIs include image tagging, image similarity, saliency estimation and prints for transfer learning. HERE ARE A SELECTION OF RELEVANT WWDC PRESENTATIONS: https://developer.apple.com/videos/play/wwdc2019/222/ (https://developer.apple.com/videos/play/wwdc2019/222/) https://developer.apple.com/videos/play/wwdc2019/225/ (https://developer.apple.com/videos/play/wwdc2019/225/)The Scene Understanding team is looking for a technical leader with a proven track record in ML research. The position would entail algorithm design, extensive experimentation, and prototyping aimed at asking and answering the right questions that would have a lasting impact in user experience. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Among the most important skillsets required would be a deep understanding of ML fundamentals, and the ability to translate them into production quality code. Solutions developed will leverage multi-modal inputs (visual, range, nlp, audio) with a strong emphasis on visual processing. The primary responsibilities associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.