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The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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.
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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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Design, model, validate and test algorithms by applying Machine Learning and Natural Language Processing techniques against various real-world datasets including behavioral data. Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
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Come shape Apple products as a driven and dedicated Computer Vision / Machine Learning Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data in an innovative team and be part of building the next big thing.
$264,200 a yearExpandApply NowActive JobUpdated Yesterday - 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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Experience in Machine Learning, Big Data and Deep Learning. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms.
$255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years experience as a Machine Learning Engineer, Data Scientist, and experience in causal machine learning is preferred. We achieve this by developing end-to-end algorithmic capabilities utilizing machine learning, data mining, and causal inference methodologies.
$355,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
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Proficiency in deep learning/machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally.
$256,500 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks.
$214,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills. Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.
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Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development.
$195,700 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionization to visualization. Job Title: Senior Machine Learning Infra Engineer (X4.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
$55 an hourFull-timeExpandApply NowActive JobUpdated 20 days ago
big data machine learning jobs Title: machine learning engineer in Cupertino, CA
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