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Grainger AI & Machine Learning Team in Chicago

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."

Employee Reviews

David Brenner

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.

David Brenner, Director, Product Management


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.”


Alan Cooney

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.

Alan Cooney, Senior Manager, Applied Machine Learning


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.”

Recently posted jobs

eCommerce • Information Technology • Retail • Industrial
Lead multiple engineering teams to deliver scalable customer-facing product solutions, improve reliability and observability, drive CI/CD and cloud modernization, partner with Product, Architecture, Data and ML, and develop engineering leaders while ensuring operational excellence and aligned domain outcomes.
2 Days AgoSaved
Hybrid
2 Locations
eCommerce • Information Technology • Retail • Industrial
The Lead UX Designer leads user-centered design for Grainger's digital products, collaborating with teams to create intuitive experiences and design artifacts while mentoring junior designers and evaluating existing user experiences.
2 Days AgoSaved
Hybrid
Lake Forest, IL, USA
eCommerce • Information Technology • Retail • Industrial
Lead and define Supply Chain system architecture, drive scalable cloud-native distributed solutions, align technical strategy with business outcomes, mentor engineering leaders, influence standards, and mitigate systemic technical risk.

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.