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Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports information security organization objectives.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$136,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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Has demonstrated proficiency in one or more sub-disciplines of data science, like causal inference, forecasting, simulation, optimization, machine learning, or deep learning, geospatial.
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What you’ll be doing:A big part of our day-to-day job is developing and accelerating end-to-end Machine Learning & Deep Learning solutions and data pipelines that enable Enterprise use cases.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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The ideal candidate will have an extensive background of research in ML and deep learning. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.
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As a research scientist at Adobe, you will be joining a dynamic team of machine learning, deep learning, natural language processing, and computer systems researchers to build the future of digital experiences.
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O Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
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Minimum Requirements: Currently has, or is in the process of obtaining a PhD or Master degree in Computer Science or a related STEM field Solid foundation in 3D math, linear algebra, computational geometry and numerical analysisDeep understanding of and experience with the latest deep learning techniques related to NLP, computer graphics and multi-modal systems.
InternExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience using machine learning/deep learning frameworks such as TensorFlow and/ or PyTorch. Magnifi is seeking a Senior LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis.
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Experience with deep learning techniques for NLP, including recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models. As our Data Scientist with a focus on Natural Language Processing (NLP), you'll be instrumental in building out our capabilities to derive insights from complex healthcare datasets.
$150,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
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