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Work closely with the Engineering team to uncover opportunities for machine learning automation and predictive modeling across all Machina Labs offerings. Machina Labs is funded and backed by major investors (NVIDIA, Innovation Endeavors and Lockheed Martin) in the field of AI and Deep Tech. Job Description As a Machine Learning Engineer and an early member of our small team, you will own a significant portion of our product and the company.
$156,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a skilled and innovative Machine Learning Engineer to join our team. Proven experience as a Machine Learning Engineer or in a similar role. Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
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Perform data exploration using a combination of statistical programming languages (including, but not limited to R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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The Groups of Dr. Omar Al-Louzi (Visual Outcomes Laboratory) and Dr. Pascal Sati (Neuroimaging Program) are seeking a highly motivated and talented Postdoctoral Researcher to lead multi-modal (OCT/A, MRI, PET) image analysis research projects using advanced machine learning in patients with neurological conditions.
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5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Senior Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with coding (e.g., Python, MATLAB), remote sensing datasets, and modeling (e.g., climate models, groundwater models, machine learning). It is therefore then pertinent to bring in in-situ observations, modeled results, and machine learning approaches to fuse with remote datasets for a full understanding of hydrologic processes.
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Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Proficiency in Microsoft Azure, including Azure Machine Learning Services, Azure DevOps, and Azure Kubernetes Service (AKS). We are seeking a talented and experienced Machine Learning Operations (ML Ops) Engineer with 2-4 years of hands-on experience in deploying and managing machine learning models in a Microsoft Azure environment.
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8+ years as a Machine Learning Engineer or in a similar role, with experience in large-scale Machine Learning/AI/LLM projects. Design, develop, and deploy machine learning models for various applications, including but not limited to predictive analytics, anomaly detection, knowledge fusion, NLP, and computer vision.
$255,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai Cancer Center researchers can create a computational model of the patient, known as the 'Molecular Twin.
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They also need a solid understanding of online platforms and have experience working in content development for digital projects in an iterative, fast-paced environment and have experience writing, editing, and producing compelling digital content for varied audiences.
$34 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency with image processing, machine learning, and deep learning techniques. Create machine learning-based pipelines to identify changes in spatial omics patterns of gene and protein expression in tumor tissues.
$80,196 a yearFull-timeExpandApply NowActive JobUpdated Today
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