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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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PhD in machine learning or computer scienceExperience with ROS, OpenCV, Gazebo, or PCLExperience with CUDATrack record in deploying prediction models into real world environmentsExperience with autonomous driving technologiesThe salary range for this position is $183,600 - $270,000.
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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.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality support experiences.
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Experience with image analysis, machine learning, and deep learning frameworks Pytorch, TensorFlow-Keras). The incumbent will apply image analysis and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology digital pathology research for programs in clinical development.
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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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The role will involve building and managing multi-modal databases consisting of text, numbers and imaging data already within electronic health records at UCSF medical center and facilitate use of this database to train machine learning models towards enhancing ophthalmological disease diagnosis and management.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
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Faculty DevelopmentThe Instructional Designer will partner with members of the Instructional Design team, other Educational Technology Services colleagues, the USF Center for Teaching Excellence, and the Provost office to provide broad faculty development programming around instructional design principles, learning theory, research-based instructional strategies, and effective use of educational technologies.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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As an ML Ops Engineer, you will play a critical role in developing and optimizing our machine learning & large language model infrastructure in Databricks. This role requires technical expertise in machine learning operations, a strong understanding of data infrastructure, and the ability to work collaboratively with cross-functional teams.
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It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI.We're looking for an accomplished Machine Learning Engineer to model functional cell types and cell states using multimodal biological datasets.
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We're rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
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machine learning jobs Company: Facebook in San Francisco, CA
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