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Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission. Preferred Qualifications- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch.
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QBE is on the lookout for a Lead Machine Learning Engineer with deep expertise in developing and deploying advanced machine learning models and solutions. Lead Machine Learning Engineer page is loaded.
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In this organization, you will be responsible for contributing extensions to the TensorFlow and PyTorch machine learning frameworks and for developing cross-framework solutions to support training of Deep Learning models at scale, involving thousands of accelerators.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Senior Machine Learning Engineer (Python) You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Senior Machine Learning Engineer. This role will include accelerating and democratizing machine learning solutions in batch and real-time systems. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.
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Senior Machine Learning Engineer (Python, PySpark, SQL) You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
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Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc. Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline.
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Experience with machine learning architecture and neural network design and implementation, utilizing tools such as Tensorflow and/or Pytorch. Utilize machine learning (ML) algorithms in order to tackle challenging IRCM & MWR problems.
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At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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We are at the forefront of Machine Learning solutions that influence tangible business outcomes. Familiarity with neural net architectures, and developing models using tools such as Tensorflow or PyTorch.
$110,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering.
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We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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