GTG Intern - Applied Machine Learning

Work Location Type: Hybrid About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit Compensation: This position is hourly, and the starting pay rate is $40/hour The rate of pay provided above is not a guarantee of compensation. The rate reflects the expected base pay for this role at the time of this posting based on the job grade for this position. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details: We are seeking a talented and motivated Applied Machine Learning Intern to join our team, working at the intersection of ML Engineering and Data Science. The ideal candidate will have a passion for discovering insights from data, eagerness to learn new technologies, excellent communication skills, the ability to work collaboratively, and a commitment to producing high-quality work. This role offers an exciting opportunity to conduct innovative research, develop cutting-edge machine learning models, and contribute to the productionization of ML solutions. You Will: Conduct fundamental and innovative research in applied machine learningAssist in the productionization of ML models and solutions when requiredFormulate approaches to solve complex problems using well-defined algorithms and data sourcesPerform data exploration to uncover new questions or opportunities within your problem areaPropose and evaluate the applicability and limitations of data in various contextsCollaborate with cross-functional teams to integrate ML solutions into existing systems You Have: Majors in an area of computing, e.g., Computer Science or Applied MathHas a strong foundation in ML, including transformer-based modelsCan code in Python and SQLFamiliar with version control systems like Git Preferred Qualifications: Currently enrolled in a graduate program (MS or PhD)Expected to graduate in the year following the internshipPractical experience in Natural Language Processing (NLP) or Computer Vision (CV)Has some industry experience We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are also committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

Created: 2026-03-04