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The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000's of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale.
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You will have an opportunity to work on the service layer written in Go/Python, debug Jupyter issues/conda environments, support DAG data model migrations, and build the Spark/Dask/Ray compute infrastructure to support the future of AI and ML at Capital One.
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As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Center 2 (19050), United States of America, McLean, VirginiaSenior Software Engineer, Back End (Python, Kubernetes, AWS) 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. 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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This includes, but is not limited to, the Kubernetes control plane, workers, storage, addons, custom operators, and applications within each cluster as our team is the very foundation of the ML platform at Capital One. Additionally, this team owns microservices that enable self-service onboarding and interactions with the ML fleet of clusters.
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Work with a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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The Intelligent Foundations and Experiences (IFX) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
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Utilize programming languages like Java, Python, and SQL, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. 5+ years of experience in at least one of the following: Java or Python.
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At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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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We work closely with various open source projects and internal teams to ensure a seamless experience for our internal customers building machine learning models. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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