1+ months
2018-06-272018-09-12

Machine Learning Manager

Capital One
McLean 1 (19050), United States of America, McLean, Virginia

At Capital One, were 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.

Machine Learning Manager

Are you a high performing machine learning software engineer that has experience leading, mentoring and managing a team of engineers and data scientists, and has DevOps experience?  Are you looking to take part in some of the most cutting edge research and production projects?  Do you enjoy reading and investigating advancements in various applied machine learning architectures and solution white papers?  Would you like to take part or drive the creation of publishable advancements in machine learning across various disciplines?  You could be a great match as Machine Learning Manager on Capital One's Shared Solutions Engineering (SSE) team.

As a Machine Learning Manager for SSE, you will contribute to building fast data and machine learning solutions to create and improve some of the most interesting use cases in the financial services industry. You will start by creating a chat bot that listens on a Slack channel to listen, interpret, and respond to questions, and integrate the bot into Capital Ones support systems.  You will then look for additional ways to incorporate ML into your new group, such as improving continuous integration / continuous delivery (CI/CD) pipelines, while training team members in ML techniques.

Capital One maintains a full stack of technology solutions including streaming big data, state of the art machine learning, micro-service architecture, distributed computation engines, and intuitive visualizations in the cloud.  To manage this, we work with cutting-edge technologies and actively develop and contribute to the open source community.  We are highly technical with strong backgrounds in our fields to support use cases ranging from cyber threat prevention to sophisticated NLP understanding in an always on 24/7 service architecture.  We have the highest executive support for acting as a catalyst of machine learning across Capital One providing our researchers extraordinary diversity in topics.

What you will bring to the role:

  • Excellent communication skills.
  • Leadership skills and mentorship of team members (management would be a huge plus).
  • Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions.
  • Experience teaching junior engineers.
  • Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations.

What you will do in the role:

  • Create chatbots to handle support questions and integrate them into Capital One systems.
  • Code new machine learning paradigms, sometimes from first principles, for integration into production systems.
  • Learn and work with subject matter experts to create large scale deployments using newly researched methodologies.
  • Construct data staging layers and fast real-time systems to feed machine learning algorithms.
  • Share your Machine Learning experience with team members.
  • Create white papers, attend conferences, and contribute to open source software.

Basic Qualifications:

  • Bachelors Degree or Military Experience
  • At least 1 year of experience working with Cloud solutions, particularly AWS.
  • At least 2 years of experience working with Machine Learning.
  • At least 2 years of experience coding on Unix systems.
  • At least 2 years of experience working with Python or Java.
  • At least 1 year of experience with DevOps tools and CI/CD practices.
  • At least 1 year in a Lead role.

Preferred Qualifications:

  • At least 2 years of experience working with Machine Learning.
  • At least 2 years of experience with DevOps tools and CI/CD practices.
  • At least 2 years in a Lead or Manager role.
  • At least 4 years of experience in designing and building full stack solutions utilizing distributed computing.
  • At least 4 years leading teams in code development.
  • Experience building Slack applications.
  • A history of publications and conference attendance.

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

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Machine Learning Manager

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