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Machine learning for data enrichment : Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation.
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Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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Develop and implement systems to analyze data that inform decision-making, improve practice, advance learning, and support progress toward CYCs strategic goals and outcomes at the organizational, programmatic, and operational levels.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.
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The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 3 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition.
$114,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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3-5 years of applied experience in machine learning, deep learning methods, statistical data analysis and complex data visualization; experience in life science industry would be a plus.
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Manage clinic and externship physical space, including storage, filing systems, student workstations, conference rooms and administrative work areas (such as copiers/printers/fax machine). Program Assistant V, Experiential Learning Programs.
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We are a group of data scientists, machine learning engineers and software engineers that share a passion for designing data products, and building Generative AI services to help improve the way that generative product is delivered.
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The Manager plays an important role by supporting ERA’s annual fundraising strategy and ensuring goals for individual giving are met through the creation and rollout of a comprehensive individual donor program that increases overall organizational revenue from individual donors through direct outreach (from your solicitation portfolio), data-driven strategies, and masterful mining of our CRM database (Salesforce.
$75,000 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong understanding of data management, analytics, and machine learning concepts. We are hiring a Senior Product Management to develop and execute a product strategy and roadmap for our Go-to-market Data Enablement platform.
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Proven data science and data engineering skills including machine learning, natural language processing, graphs, data pipelines, data lake, data visualization.
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Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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Comprehensive knowledge and hands-on experience in 3D data analysis and machine learning algorithms. We translate that data into actionable, opinionated insights that help companies increase the financial and experiential performance of any workplace.
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machine learning data mining jobs Title: machine learning in San Francisco, CA
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