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Proven experience in Deep Learning, Natural Language Processing, Large Language Models, Search & Recommendation. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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6+ years of experience in machine learning, data analysis, or a related field. Strong knowledge of machine learning algorithms and data analysis techniques. Check out our Machine Learning / AI blog here.
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The Back Office Analytics team supports back-office operations stakeholders with dashboarding, analytic studies, and statistical modeling to drive a better member/provider experience while reducing both administrative and healthcare costs.
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Strong knowledge of statistical analysis, predictive modeling, and machine learning algorithms. Model Development: Build and optimize machine learning models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, and deep learning architectures.
$127,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Causal modeling, NLP, time series, deep learning, etc. You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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We are looking for candidates with a strong background in biomedical engineering and MRI who are motivated to elevate or acquire new skills in pulse sequence design, image reconstruction, quantitative signal modeling, data analysis, machine/deep learning, and/or translational imaging applications.
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2+ years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discrimination methods, feature extraction and analysis, and supervised learning.
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We seek individuals with demonstrated expertise in the application of bioinformatics, biostatistics, computational modeling, and machine learning methods. Faculty position in Computational Immunogenetics, UCLA Immunogenetics Center, Department of Pathology and Laboratory Medicine University of California Los Angeles Requisition Number: JPF09057 The Department of Pathology & Laboratory Medicine, Division of Immunogenetics, is searching for a faculty with the skills and interest to develop a strong career that focuses on the intersection between Immunogenetics, Histocompatibility, Transplantation immunology, and Data science.
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Experience developing/training and maintaining models in multiple genres of Advanced Analytics: machine learning, deep learning, optimization/prescriptive modeling, NLP/text analytics, cognitive/generative AI.
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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.
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Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
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The Clinical Biomarkers & Diagnostics (CBD) department at Company is looking for a highly motivated Computational Biologist with expertise in causal machine learning models and the development of predictive signatures from multi-omics and multi-modal biomarker data to enable clinical biomarker discovery and development.
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OPTION II: A Bachelor's degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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Progressive design professional with a strong knowledge of computational design technology and emerging applications including: 3D modeling software such as Revit and Rhino; parametric design methodologies using Dynamo and Grasshopper; data and 3D visualization capabilities utilizing PowerBi and Tableau; and multi-variable optimization through Machine Learning & AI.
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Data Engineers with AWS, Python/Spark, DBT Modeling and strong SQL. 10 years of professional experience in software engineering, data engineering, machine learning, or related field. Others : MySQL | PostgreSQL | MongoDB | Docker Kubernetes | Microservices Architecture | EMR.
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