Senior Associate, Machine Learning Engineer

Posted 11 Sep 2018

Capital One

Washington, DC United States


AWS Android AngularJS Apache API Cloud CSS Hadoop HTML5 iOS Java JavaScript JSON Node.JS Perl Python Scala Swift XML

Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? As a Capital One Software or Data Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems. We experiment and innovate leveraging technologies such as: node.js, Java, AngularJS, React, Python, JSON, XML, HTML / HTML5, CSS, Chef, Maven, iOS, Swift, Android, and AWS, to name a few. We engineer breakthrough customer experiences, and bring simplicity and humanity to banking.

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.

Senior Associate, Machine Learning Engineer

Responsibilities:

  • End-to-end/full stack software solutions development and deployment of our Machine Learning (ML) and Artificial Intelligence (AI) algorithms.
  • Write, design, code, test, implement, debug, and validate applications; document design decisions and develop modular software components; monitor system performance metrics, and identify potential risks/issues.
  • Work with product owners to understand desired application capabilities and testing scenarios, and define, establish, and execute against strategic technical management and business delivery roadmaps, actively managing data risks, issues, and impediments.
  • Present project metrics, complex ML and AI concepts to both technical and non-technical audiences.

Basic Qualifications:

  • Bachelor’s Degree or military experience
  • At least 3 years of open source software development experience in Python
  • At least 2 years of software capabilities development experience in Machine Learning, Deep Learning, or Artificial Intelligence algorithms

Preferred Qualifications:

  • Ph.D. in Computer Science, Engineering, Information Systems, Physics or Mathematics discipline.
  • 4+ years of experience in full stack software development using Python, Scala, Java, RESTful API, Apache, Spark, Kafka, Micro-service etc., and successful deployment of capabilities in AWS Cloud computing environments.
  • 3+ years of experience with the full AWS stack and distributed Big Data technologies such as Hadoop, Python, Hive, Cloudera, etc.
  • Experience in Scala, R, Java, Perl, JavaScript, or Shell.

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

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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 1-800-304-9102 or via email at [email protected] All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

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. Capital One Financial is made up of several different entities. 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).

Job Source: Github
Job Source: Github

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