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Capital One Machine Learning Software Engineer in San Francisco, California

201 Third Street (61049), United States of America, San Francisco, California

Machine Learning Software Engineer

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, at https://www.capitalone.com/diversity/business-resource-groups/ and iterative delivery environment? 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.

We are seeking Software Engineers who are passionate about marrying data with emerging technologies to join our team. As a Capital One Software Engineer at https://www.capitalonecareers.com/category/engineering-jobs/1732/29016/1 , you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Learn more about #lifeatcapitalone at https://www.capitalonecareers.com/blog and our commitment to diversity & inclusion at https://www.capitalone.com/diversity/our-commitment/ by jumping to slides 76-91 on our Corporate Social Responsibility Report.

What you’ll do:

  • Train machine learning models, validate the accuracy of the machine learning models once trained, and deploy them into production.

  • Develop new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.

  • Work to automate and develop simulation tools that support business needs and data governance.

  • Set and enforce coding standards.

  • Direct efforts to define technical requirements

  • Design conceptual architecture and technical solutions and lead efforts to developing and implementing solutions

  • Work within a team of like-minded professionals to plan, deploy, and maintain critical business applications.

  • Enforce security and privacy best practices that are compliant with various data management classifications.

  • grow subject matter expertise in machine learning and influence other engineering groups in adopting methodologies.

Basic Qualifications:

  • At least 6 years of experience designing and building data solutions using distributed computing

  • At least 6 years of experience programming with Python, Scala, or Java

  • At least 3 years of experience with PyTorch, SciKit Learn, NumPy or TensorFlow.

Preferred Qualifications:

  • At least 7 years experience with object oriented programming languages (C++, Java, Spring, Hibernate, or Scala)

  • At least 4 years experience developing RESTful APIs

  • At least 2 years experience in databases (SQL, NoSQL)

  • At least 4 years experience with a functional programming languages Haskell or R.

  • At least 2 year experience with multi-threaded applications

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