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Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
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Python or related languagePREFERRED QUALIFICATIONS- Experience building complex software systems that have been successfully delivered to customers, especially involving deep learning, machine learning and computer vision.
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This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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As part of our team, you will be leveraging and improving upon the latest deep learning techniques in order to understand queries, rank user intents, rank documents, and find useful answers to users’ questions.
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Experience influencing product strategy through cutting edge research in deep learning. - Experience shipping large-scale deep learning models for online recommendation, personalization, or search.
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Deep understanding and practical experience in several of the following areas: machine learning, statistics, causal inference and recommendation systems. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers.
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PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field. They excel at deep diving into complex problems, driving innovative scientific solutions, and effectively communicating key takeaways to influence business and product decisions.
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The DEeP Data Science team provides data, metrics and insights to improve key features of the Stripe user experience including the Stripe Dashboard, developer tools, API policies, Stripe Apps, and more.
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Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
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This role will work at the intersection of customer data, computer vision and machine learning models, leveraging deep personalization to design elegant solutions to customer needs in the fashion space.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka) Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
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