Software Engineer
Vienna , Virginia
February 08, 2017
Towers Crescent 2 (12067), United States of America, Vienna, Virginia

Machine Learning Software Engineer

As a Capital One Machine Learning Software Engineer, you'll be part of an Agile team dedicated to breaking the norm and pushing the limits of innovative applications of machine learning. You will participate in detailed technical design, development and implementation of applications using existing and emerging technology platforms. You'll have the opportunity to mentor other engineers and develop your technical knowledge and skills to keep your mind and our business on the cutting edge of technology.  At Capital One, we have seas of big data and rivers of fast data.  To manage this, we are working with a number of cutting edge machine learning technologies, and are actively developing more.

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

• Someone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results

• You love to learn new technologies and mentor junior engineers to raise the bar on your team

• 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 3 years’ experience in software development

- At least 3 years’ experience writing in production environments with Python or Scala or JAVA

- At least 2 years’ of experience working with building data pipelines

- At least 2 years’ experience with AWS

- At least 1 year Experience in production deployments on AWS

- At least 2 years’ experience with SQL, databases

Preferred Qualifications:

- Master's Degree

- 1 year experience with AWS, specifically S3, EC2, Redshift, Glacier, VPC, CodeDeploy, CloudFormation

- Experience with leading big data technologies like Spark, Hadoop, HDFS, MongoDB, Hbase, AVRO, Redis, Postgresql

- 1 years of experience working with Machine Learning frameworks and Data Science methodologies

- Experience working with machine learning platforms like H2O, SciKit-Learn, MLLib, in production environments

- Experience with TDD, Cucumber, Ruby, Lettuce

- Experience with CI/CD tools Jenkins, Ansible

- Experience with AWS Security, Tokenization

- Financial Services Domain experience

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

A little about us:
Headquartered in McLean, Virginia, Capital One® offers a broad array of financial products and services to consumers.

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