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Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection.
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As a machine learning engineer, you’ll have the opportunity to immediately drive a huge, direct impact for Propel! Lead Propel in building machine learning infrastructure that all teams can take advantage of.
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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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Build both batch and real-time machine learning solutions for the assessment of financial crimes risk at scale across all global markets in which Square operates. Practical experience working with both deep learning and traditional machine learning frameworks.
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Exciting Senior Machine Learning Engineer role with rapidly growing Biotech on the cutting edge of protein design! Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or JAX.
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As a Senior Manager, Global Lean Learning, you'll be part of our Operational Excellence team working as a remote employee. Senior Manager, Global Lean Learning - Remote - United States.
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As a Senior Machine Learning Engineer, You Will Be Building a Platform That Accelerates Drug Discovery With Machine Learning For a Wide Variety Of Use Cases With Respect To Data Modality, Model Architecture, And Model Size. By Leveraging Your Experience In Machine Learning, Software Engineering, Infrastructure, And Data, You Will.
$170,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud. Senior Solutions Architect, Machine Learning page is loaded.
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You can find out more about us by visiting our website ( mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts.
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Leveraging this therapeutic bond, and the expertise of our Stanford-trained clinicians and scientists, Woebot is constantly learning from the experience of more than one million people and hundreds of millions of messages exchanged to deliver high quality CBT-based therapeutic tools that are psychologically related and responsive to a person’s dynamic state of health.
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Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks. Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow.
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5+ years of experience in machine learning engineering, data science, or a related field. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.
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Innovative Refrigeration Systems is looking to hire a Lead Machine Learning Engineer full-time onsite in Waynesboro, VA. You would be joining our software engineering department to build machine-learning models optimizing energy efficiency for heavy industrial refrigeration / cold storage facilities.
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Title: senior learning engineer Company: Verse
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