Software Engineer – Machine Learning Platform

Chicago, IL, US

Job Description / Skills Required

We are seeking for passionate software engineers to help us build the machine learning platform at Groupon that can connect innovative ideas of data science to industry leading engineering system within Groupon.

In this role, you will design, develop, test and deploy full stack solution to facilitate the machine learning model life cycle and integration within Groupon. You will be interfacing with data scientists, engineering consumers, and business stake holders throughout various areas of Groupon.

Basic Qualifications:

Bachelor’s degree in computer science or related fields

Computer Science fundamentals in object-oriented design, data structures, algorithm design and problem solving

Proficiency in, at least, one OO programming language such as Java, C++, or C#

Preferred Qualifications:

2+ years in professional software development experience

Development experience defining, developing and maintaining REST based interfaces.

Big data experience in using MapReduce, Spark, and/or Hive is a plus

Experience with Machine Learning, data mining, and/or statistical analysis tools is a plus but not necessary

You can check us out more at this Built in Chicago article http://www.builtinchicago.org/2017/07/14/data-science-engineering-Groupon

Groupon provides a global marketplace where people can buy just about anything, anywhere, anytime. We’re enabling real-time commerce across an expanding range of categories including local businesses, travel destinations, consumer products, and live or lively events. At the same time, we are providing advertising options and tools that merchants can use to grow and manage their businesses. Culturally, we believe that great people make great companies and that starting with the customer and working backward moves us forward. Community matters to us on an internal, local and global scale—it’s fundamental to our company’s growth and to the well-being of the world at large. We also value self-awareness, candor, lunch and WiFi. If we match with you, please apply to join us.