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Familiarity with cloud platforms (AWS, GCP, or Azure, Databricks) and their machine learning services. By leveraging computer vision, machine learning, and blockchain, we are able add valuable services that include authentication/grading, vaulting, and other exciting features.
$180,000 - $215,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
$250ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Software Engineer with Machine Learning (ML), you will support new and existing projects in the areas of GenAI in BigQuery, with a particular focus on building evaluation frameworks for new ML capabilities.
$161,000 - $239,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality organization for Trust Engineering who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology.
$250Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment.
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Experience in Machine Learning, Big Data and Deep Learning. As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members’ platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.
$156,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Lead the design, get your hands dirty and write code, and ultimately deploy big data and machine learning services. Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems.
$151,300 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Location: Mountain View, CAResponsibilitiesA tech lead role to lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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An engineer with extensive experience in building distributed data-heavy systems at scale who has a passion for machine learning and ideally has experience building machine learning platforms.
$150Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As a critical member of our Machine Learning infrastructure team, your main responsibilities will be to work closely with a small and talented group of software engineers to build an exceptional Machine Learning infrastructure that everyone in the company will use on a daily basis.
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