Grainger

HQ
Lake Forest, Illinois, USA
Total Offices: 2
26,000 Total Employees
Year Founded: 1927
All Teams

Grainger AI & Machine Learning Team

We are designing, delivering, and operating the digital experiences, tools, and information assets that solve customers’ problems. Our scale presents complex and interesting engineering challenges that are solved by technologists at the top of their game. Alan Cooney, Senior Manager of Applied Machine Learning shares, “Over the past few years, we have integrated ML into many aspects of our customer interactions- all with a focus of making the experience better for our customer’s." David Brenner, Director of Product Management shared similar sentiments, stating, “Grainger’s purpose: We Keep The World Working® is apparent in the way we design, deliver, and operate digital experiences, tools, and information that solve customers’ needs."

At a glance

driven by data

Grainger leads the way with patented features like visual search and exploring how to utilize 3D object recognition and augmented reality to better serve our customers.

building solutions

Our technology teams build custom capabilities that connect millions of essential businesses to products they need to keep their operations running.

led by vision and passion

We're on a mission to use technology to empower our customers and believe the toughest challenges are best solved through collaboration.

Inside Our Work


Hear about Grainger’s AI Approach

As the Grainger Technology Group’s Director of Product Management, David Brenner leverages new and emerging technologies to implement solutions that make the lives of team members’ and customers’ easier. David shares, “Generative AI is the latest frontier we are using to make our processes smarter. Our leadership is making AI a priority to help us achieve 3 main goals: (1) create solutions to better serve our customers, (2) evolve our digital landscape by team members learning new technologies, and (3) develop efficient processes while documenting data.”

profile

David Brenner

Director, Product Management

Technology is always changing, and I feel equipped with the right tools, resources and support to be a continuous learner and explore new technologies when they’re announced.


Discover more about Machine Learning at Grainger

Alan has held several roles in Applied Machine Learning since joining #TeamGrainger 7 years ago. He describes his work as customer experience focused: leading a team that works with advanced machine learning algorithms to discover insights and help Grainger customer’s find what they need. Alan shares, “It feels like a real privilege to be working in machine learning right now, as each week seems to bring a new model or new technique innovations. From our website experience, to call-center support, aiding sellers in the field, and more, our strong data engineering and machine learning operations teams provide crucial support to customers and our business.”

profile

Alan Cooney

Senior Manager, Applied Machine Learning

Before joining, the Grainger team, I was looking for a company that not only valued machine learning, but also actively put it into production. At Grainger we have the resources, capabilities, and the strong leadership support needed to explore and implement these innovations.

Recently posted jobs

14 Days AgoSaved
Remote or Hybrid
IL, USA
eCommerce • Information Technology • Retail • Industrial
The Manager, Incident & Emergency Management oversees the development and execution of emergency programs, partnering with internal departments to enhance response capabilities and strategies for disasters.
19 Days AgoSaved
Remote or Hybrid
2 Locations
eCommerce • Information Technology • Retail • Industrial
Lead project management and community activities for technical governance. Facilitate events and initiatives to enhance engineering collaboration.
20 Days AgoSaved
Remote or Hybrid
3 Locations
eCommerce • Information Technology • Retail • Industrial
As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data products, and collaborate across teams to deliver insights.