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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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As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 4 years of professional software engineering experience (Internship experience does not apply.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Senior Software Engineer, Back End (Python, Kubernetes, AWS) San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Software Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer.
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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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Center 2 (19050), United States of America, McLean, VirginiaSenior Software Engineer, Back End (Python, Kubernetes, AWS)Do you love building and pioneering in the technology space? 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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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. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies.
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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. 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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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 3+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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1+ years of experience with AWS, GCP, Azure, or another cloud service. 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js. 2+ years of experience with Kubernetes or Docker.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
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software engineering deep learning jobs Title: engineer Company: Capital One
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