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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Experience with using (preferably open source) computational chemistry/chemoinformatics tools, e.g. RDKit, OpenMM, AutoDock Vina, as part of a small-molecule drug discovery campaign. PostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry, to develop cures for diseases, faster.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit! Machine Learning Implementation Engineer.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. You will also directly impact our key success metrics via building machine learning solutions and risk detection rule development and deployment.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. While there is no specific deadline to apply for this role, on average, open roles are posted for 70 days before being filled by a successful candidate.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. Lead a team of developers with deep experience in machine learning, data pipelines, microservices, and full stack systems.
Full-timeRemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
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The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden.
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Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.) Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes and Docker.
$180,000 - $180,001 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Pioneering Intelligence is building unique AI and machine learning know-how to augment the capabilities of Flagship companies and enable bigger leaps in human health and sustainability, amplify the process of creating breakthrough innovations, and originate new platform companies that build on innovations in machine learning.
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Evaluates and recommends: upcoming industry trends, best practices, cutting-edge tools and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing.
Full-timeRemoteExpandApply NowActive JobUpdated 2 days ago
machine learning open source jobs Title: technical program manager in Boston, MA
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