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Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing. This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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Tagged as: Bachelor’s Degree , Big Data , Industry , Information Retrieval , Natural Language Processing , NLP , United States. Experience in building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search, etc.
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Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing. Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.
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Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions. - Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering.
$104,500 - $139,650 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with Big Data, Machine/Deep Learning, Natural Language Processing and/or Data Mining. As a Principal Product Manager you will work in the important field of visual search, which has applications in various domains such as Shopping; Search; Camera Apps; Monetization; Intelligent Assistants; Enterprise and Virtual Reality.
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2+ 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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From Natural Language Processing, Query Understanding, Machine Learning, Ranking and Relevance, Big Data consumption all the way to complex experiences.
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You have experience in backend engineering, data infrastructure, search infrastructure or natural language processing/machine learning. You’ll improve search latency and relevancy using large scale data systems and machine learning.
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The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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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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Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques.
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