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machine learning infrastructure
Build a solid foundation for some of Apple's most innovative products. As part of this team, you'll connect the world's best researchers with the world's best compute, storage, and analysis tools to tackle the toughest problems in machine learning. And since this is Apple, your team has the entire stack here: hardware, software, algorithms, everything. Areas of work include backend engineering, data science, platform engineering, and systems engineering.
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Deep learning and reinforcement learning
Join a team of researchers and engineers with a proven track record in a variety of machine learning techniques, including supervised and unsupervised learning, generative models, temporal learning, multimodal input streams, deep reinforcement learning, inverse reinforcement learning, decision theory, game theory, and more. The team delves deep into deep learning and AI research to help solve large-scale real-world problems. Areas of work include deep learning, reinforcement learning, and research.
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Natural language processing and speech technology
This group is a collection of practicing research scientists from various fields related to natural language processing. Join them as they tackle natural language understanding, machine translation, named entity recognition, question answering, topic segmentation, and automatic speech recognition. The team's research typically relies on extremely large amounts of data and innovative techniques in deep learning to address challenges for users around the world in languages around the world. Areas of work include natural language engineering, language modeling, text-to-speech software engineering, speech framework engineering, data science, and research.
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