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Collaborate with deep domain experts in fields like ML and NLP. Our engineers made major contributions to projects such as TensorFlow at Google. We were founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), Joshua Kushner (Oscar co-Founder) and Garrett Camp (Uber co-Founder.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$136,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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PhD degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field; coursework or academic research to include image identification or artificial intelligence.
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Erste praktische Erfahrungen in einem oder mehreren der folgenden Bereiche: Datenbanken (IBM Db2 oder PostgreSQL von Vorteil), Datenaufbereitung und -visualisierung (IBM DataStage von Vorteil), Data Science und Machine Learning Technologien (z.
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Experience with machine learning frameworks such as TensorFlow or PyTorch. We're looking to hire a Senior AI Machine Learning Engineer to join our team. 5+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.
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Experience with deep learning frameworks such as TensorFlow or Pytorch. The A12 team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase which tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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Your role will involve executing long-term projects that require substantial machine learning development to support the growth of JPMorgan Chase businesses. Collaborates with data scientists and research/machine learning engineers to deliver products to production.
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Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
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As part of the engineering team of Qualcomm China, mainly focus on automotive infotainment and ADAS platform, we are looking for talented engineers with experiences in machine learning to enable embedded deep learning.
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And machine learning and deep learning frameworks (e.g. TensorFlow, Keras, PyTorch) We are seeking a highly motivated scientist with expertise in digital pathology, including image acquisition and analysis using cutting edge deep learning technology.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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Hands-on experience running deep learning models on popular ML frameworks such as PyTorch, TensorFlow, ONNX, Caffe2. The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Familiarity with popular python machine learning libraries such as PyTorch, Tensorflow, and Hugging Face. The OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and Machine Learning experience to join our rapidly growing engineering team.
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