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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. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Senior Machine Learning Engineer. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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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. 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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Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.
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Capital One Financial is made up of several different entities. Capital One promotes a drug-free workplace. Learn more at the Capital One Careers website. 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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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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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
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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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At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
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Center 1 (19052), United States of America, McLean, Virginia 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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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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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. Center 1 (19052), United States of America, McLean, VirginiaLead Machine Learning Engineer.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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As a Capital One Machine Learning Cyber Engineer, you'll be providing technical leadership to Agile teams dedicated to productionizing machine learning applications and systems at scale.
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Title: learning engineer Company: Capital One
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