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As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (Electronic Support Measures {ESM}, acoustic, RF, EO/ IR, and lidar) applications.
$97,500 - $202,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will design and develop and train complex machine learning models. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform. Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keraes, pandas, numpy, scikit-learn, spark, scala, hive, impala.
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We are seeking candidates with expertise in machine learning (especially deep learning) and network approaches, to work on systems immunology research funded by a NIAMS P50. The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills.
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We have created software to help college students in three of those subjects read with more engagement and practice more effectively, incorporating our research team’s expertise in cognitive science and machine learning.
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
$144,000 - $169,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The Interdisciplinary Scientist will develop and examine state-of-the-art quantum and classical machine learning models for Environmental Sustainability and Governance (ESG) applications.
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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing. 8+ years of hands-on experience as a machine learning engineer or data scientist.
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Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow. machine learning We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization.
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Our laboratory applies computational and machine learning methods to investigate the impact of seizures and abnormal brain activity on outcomes in pigs with cortical impact. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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machine learning jobs Title: scientist Company: National Geospatial Intelligence Agency
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