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Master Software Engineer - Machine Learning

Posted on Aug 13, 2019 by Capital One

Mc Lean, VA 22107
Engineering
Immediate Start
Annual Salary
Full-Time
McLean 2 (19052), United States of America, McLean, Virginia

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Master Software Engineer - Machine Learning

Are you a high-performing software engineer passionate about building production-quality applications, working closely with domain experts and other engineers to deploy and support cutting-edge machine learning algorithms?

At Capital One, we experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking.

What you'll do:

  • As part of Card Machine Learning team, you'll be setting the example for machine learning solutions by building enterprise class applications that solve real problems and meet real customer needs.

  • As a Software Engineer, you will build, deploy and manage software solutions that leverage machine learning to address unique and complex problems in the financial services industry.

  • You'll work with several cutting-edge technologies including Scala, Python, Java, Docker, Kubernetes, Spark & AWS Cloud, actively develop and contribute to the open source community.

  • You will work alongside highly technical data scientists with deep domain expertise, from fraud detection to sophisticated NLP.

Who you are:

  • You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule.

  • You have built full stack systems (preferably architected for speed and distributed computing), with demonstrated experience in software engineering.

  • You embrace DevOps principles, including continuous delivery and ongoing support of production applications.

  • You love to learn new technologies, keep abreast of the latest technologies within cloud architecture, and drive your organization to adapt to emerging best practices.

  • It would be awesome if you have a robust portfolio on Github and/or open source contributions you are proud to share.

Basic Qualifications:

  • Bachelor's Degree or Military Experience

  • At least 5 years of experience with one of the following programming languages: Python, Java, Scala

  • At least 2 years of experience delivering applications from architectural design to production implementation

  • At least 1 year of experience working with AWS services

Preferred Qualifications:

  • At least 7 years of experience delivering applications from architectural design to production implementation

  • At least 3 years of hands-on experience in deploying scalable, distributed systems or multi-node database paradigms.

  • At least 3 years of experience with cloud software design, containerized microservices & distributed caching

  • Experience building and supporting batch or real-time data processes with technologies including Airflow, Kafka, Spark

At this time, Capital One will not sponsor a new applicant for employment authorization for this

position.

Reference: 744908043

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