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Deep Learning Intern

Date: Jan 10, 2022

Location: LAKE FOREST, IL, US, 60045-5201

Company: Grainger Businesses

About Grainger:

Grainger is North America's leading distributor of maintenance, repair, and operating products and services. Our wide assortment, deep expertise, innovative technology solutions and unparalleled customer service keep customers' operations running and their people safe.

We're looking for passionate people who can move our company forward. We have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way at Grainger.


Position Details:

As a Deep Learning Intern, you will use multiple different technology platforms to build data-driven solutions and capabilities using machine learning and big data with a focus on Predictive Analytics, Deep Learning, Computer Vision, Natural Language Processing, and other relevant areas.


You Will:

  • Plan, and communicate the results.
  • Work to build state-of-the-art deep learning models to solve a wide array of business problems.
  • Research and develop creative solutions to new and challenging problems.
  • Use large pools of our data to fine tune neural networks for custom applications in computer vision and NLP.


You Have:

  • Preferably purse a degree in Computer Science, Data Science, Mathematics, or related Engineering field
  • Expected graduation with a Master's degree between Winter 2022 – Spring 2023
  • Cumulative GPA of 3.0 or higher
  • An interest in developing creative solutions
  • Experience with Python programming
  • Experience with open-source tool kits such as OpenCV, TensorFlow and Pytorch
  • Knowledge and understating of machine learning techniques in computer vision and natural language processing
  • Exposure to Flask applications, AWS and deployment platforms (ML-OPS).


DEI Statement:

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.