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Machine Learning Infrastructure
Building a rock sosid foundation for some of Apple's most innovative products. As part of this team, we will combine 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. This is Apple. So the team innovates across the stack. Hardware, software, and algorithms. This is all here. Work areas include backend engineering, data science, platform engineering and systems engineering.
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Deep and reinforcement learning
Join a team of researchers and engineers with proven track record in a variety of machine learning methods: monitoring and unteacher learning, generative models, time learning, multimodal input streams, deep reinforcement learning, inverse reinforcement learning, decision theory, and game theory. This team is diving deep into deep learning and AI research to solve real, large-scale 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 group of practical research scientists from various fields related to natural language processing. Join them and work with natural language understanding, machine translation, named entity recognition, question answering, topic segmentation, and automatic speech recognition. The team's research relies on a huge amount of data and innovative ways of deep learning to tackle the challenges of users around the world, typically 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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