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Careers

Machine Learning Big Data Engineer

July 19, 2018

We’re always looking for top-notch talent to join our ranks. You’ll have an opportunity to make a difference each and every day, alongside a team that is experienced, talented and passionate.

Emailage has an immediate opening for a Machine Learning Big Data Engineer located in Chandler, Arizona. This role is primarily responsible for developing and deploying our advanced algorithms on production.

In this position, will report to the Chief Technology Officer and function as a bridge between our data science and software development teams. We require a self-starter who can effectively handle multiple competing priorities and projects. The ideal candidate will demonstrate a breadth of knowledge in machine learning and best practices, have an eagerness to learn new things and stay abreast of emerging industry trends and platforms.

Primary Responsibilities:

  • Implement and deploy large scale machine learning models to run on the cloud
  • Retrieve and manipulate very large datasets and extract features
  • Design and develop big data enterprise solutions for data ingestion and transformation on AWS
  • Design data pipelines in production based on continuous delivery practices
  • Collaborate with data scientists to develop advanced modeling capabilities
  • Establish technical communication between software development and data science teams
  • Provide big data thought leadership to efficiently leverage Emailage’s data

Qualifications and Experience:

  • Ability to design highly performant systems and troubleshoot complex performance and scalability issues in production
  • 3 years+ of experience in working on and delivering research oriented data driven problems
  • 2 years+ experience munging data using R, Python and/or SQL
  • 2 years+ experience writing production code using Java and/or Scala
  • 2 years+ of coding experience working with machine learning frameworks such as H2O, Tensorflow, MLLib, scikit-learn or similar tools
  • 2 years+ experience with AWS, specifically S3, EC2, and EMR
  • 2 years+ experience working with very large datasets using big data tools and platforms (Hadoop, Pig/Hive, Spark)
  • 2+ years combined experience with the following technologies: Cassandra, DynamoDB, HBASE, MongoDB or other major NoSQL platforms
  • Ability to work in a dynamic, fast changing environment, with a strong attention to detail, communicate effectively and work well in a cross-functional environment

Company Benefits and Perks:

It’s no secret that we work hard, but we also strive to create an office environment where the lines between work and play are blurred. This means we offer these great perks to help keep our team healthy, productive and happy:

  • Health, dental and vision coverage
  • Life insurance, short-term, and long-term disability paid for by the company
  • 401(k) plan offered with employer match
  • High-end hardware to work with
  • Learning and career growth prospects
  • Paid Holiday and Time Off
  • Referral bonus program
  • Opportunities for profit sharing, bonuses and ownership
  • Ability to working with bleeding edge technology right here in AZ
  • Fast paced Startup Culture

About Emailage:

Emailage, founded in 2012 and with offices in Phoenix, London and Sao Paulo, is a leader in helping companies significantly reduce online fraud. Through key partnerships, proprietary data, and machine-learning technology, Emailage builds a multi-dimensional profile associated with a customer’s email address and renders a predictive risk score. Customers realize significant savings from identifying and stopping fraudulent transactions.

 

To learn more, visit: www.emailage.com.

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