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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Youll 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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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. Lead Machine Learning Engineer (Intelligent Foundations and Experiences.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. Senior Machine Learning Engineer (Python, Spark, MLOPS, Cloud.
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The Enterprise ML Libraries & Tools (EMLT) Workflows team provides the last-mile tooling needed to enable Data Scientists to develop and deploy workflow pipelines on our Enterprise ML Platform (EMP.
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3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. We work directly with our DS customers on many of the most critical credit, fraud, and decisioning models used to ensure they can onboard to our enterprise offerings and accelerate the adoption of AI/ML at scale.
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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) Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead 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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You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
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Authored/co-authored a paper on a ML technique, model, or proof of concept. Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
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If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at.
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Incentives could be discretionary or non discretionary depending on the plan. 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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If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800.
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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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Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Python, Spark, MLOPS, Cloud) If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at.
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on site jobs Title: machine learning engineer in Troy, New York
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