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Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision. Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop.
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We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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A deep understanding of modern machine learning techniques and their mathematical underpinning, such as classification, clustering, optimization, deep neural network and natural language processing.
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Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling.
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Machine Learning & Natural Language Processing (Data Science) Engineer Intern. Knowledge in machine learningand natural language processing, as well as computer science fundamentals(data structures, algorithms, big-O notation, concurrency, etc.
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You will have the opportunity, depending on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; and causal inference with missing data - to name a few.
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Natural Language Processing. Programming languages (Python, R, Spark, SQL etc.) Linguistic proficiency (to a reasonable business level) in a language other than English.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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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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Have strong data Science background specially in Natural Language Processing space (Data Science Area) Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark, HBase.
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Drive strategic features for Data Management leveraging Machine Learning, and natural language processing (NLP). Prior experience in solutions/consulting with data integration, Spark, is a must.
$121,800 - $228,700 a yearFull-timeExpandApply NowActive JobUpdated Today
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