Grainger
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


What People Are Saying About Grainger
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Leadership: Leaders in Chicago have been explicit that AI is a top organizational priority to improve customer experiences and operational efficiency, with visible hiring and AI enablement roles based in the city. Feedback suggests executive sponsorship translates into resources for applied ML across search, recommendations, sales/marketing, and inventory tools that are slated to ship in production.
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Learning & Development: Internal accounts describe structured upskilling in Chicago—journal clubs, demos, lunch-and-learns, open forums, hackathons, and time during work hours to learn emerging AI methods. Feedback suggests practitioners are encouraged to stay current on GenAI and MLOps while emphasizing data quality, documentation, and production best practices.
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Innovation & Products: Teams in Chicago emphasize shipping applied, customer-first ML at enterprise scale (search, recommendations, pricing, service, and KeepStock) supported by dedicated ML Platform & Operations capabilities. Feedback suggests the culture prizes measurable customer impact, observability, and reliable deployment over novelty.
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