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Machine Learning Infrastructure
Build the rock-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 computing, storage, and analytics tools to take on the most challenging problems in machine learning. And this is Apple, so your team will innovate across the entire stack: hardware, software, algorithms — it’s all here. Areas of work include Back-End 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 methods: supervised and unsupervised learning, generative models, temporal learning, multimodal input streams, deep reinforcement learning, inverse reinforcement learning, decision theory, and game theory. This team dives deep into deep learning and AI research to help solve real-world, large-scale problems. Areas of work include Deep Learning, Reinforcement Learning, and Research.
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Natural Language Processing and Speech Technologies
This group is a collective of hands-on research scientists from a wide variety of fields related to natural language processing. Join them to work with natural language understanding, machine translation, named entity recognition, question answering, topic segmentation, and automatic speech recognition. This team’s research typically relies on very large quantities of data and innovative methods in deep learning to tackle user challenges around the world — in languages from around the world. Areas of work include Natural Language Engineering, Language Modeling, Text-to-Speech Software Engineering, Speech Frameworks Engineering, Data Science, and Research.
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