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This candidate should have experience in at least one area of deep learning but have familiarity with a broad array of techniques, such as data pipeline development, metabolic engineering, or protein engineering.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Clean, preprocess, and transform raw data into a suitable format for machine learning models.
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A master or Ph. D. is highly preferred 5+ years of industrial experience (relevant research experience for master/Ph. D. may be counted as industrial experience) Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.
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Advanced knowledge of NLP and AI principles, including concept in computational linguistics, neural networks, deep learning, searching algorithms. One (1) year of experience with NLP/deep learning frameworks such as PyTorch and TensorFlow.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
$130,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Academic and commercial groups around the world are powering a revolution in AI using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience applying machine learning (in particular deep learning) to health data, time series problems or both. As a data scientist, you will be tackling time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.
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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Modeling experience with traditional machine learning and deep learning techniques (CNN, RNNs, LSTMs, GANs, Transformers, etc.) Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus.
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Deeplearning Similar Jobs (5) Senior Computer Architect - Deep Learning locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Senior Deep Learning Performance Architect locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Senior Deep Learning Performance Architect locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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deep learning jobs Title: data scientist senior Company: Dice in Phenix-city, Alabama
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