26 jobs for "Manager, 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 www.grainger.com.

W.W. Grainger, Inc. is seeking a Manager, Applied Machine Learning in Lake Forest, IL with the following requirements: Bachelor's degree in Data Science, Computer Science, Engineering or related field plus 5 years of related experience. Will accept any level of experience in the following skills: Design scalable machine learning architectures for search, information retrieval, and relevance using Python, traditional and deep learning methods, Apache Solr, and vector search frameworks such as FAISS; Develop natural language processing applications for query understanding, classification, and search relevance using natural language processing algorithms, techniques, and tools such as FastText, Transformers, and NLTK; Develop and implement machine learning models for search ranking and category prediction using query, clickstream, and product catalog data; Design and implement feature engineering pipelines using clickstream, product catalog, and customer behavioral data with SQL, Python, and Apache Spark to support machine learning models; Design and implement personalized typeahead and autocomplete systems using clickstream, search interaction, and behavioral data to generate real time query suggestions and improve search relevance; Implement and operationalize machine learning systems for search retrieval, ranking, and relevance, including model training, low latency inference, deployment using FastAPI or Flask with Docker and Kubernetes, and monitoring on premises and cloud based platforms.

Compensation: The anticipated base pay range for this position is $214,365 - $268,000 which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work location, relevant experience, and skills. Grainger reserves the right to amend, modify, or terminate compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

Rewards and Benefits: To learn about Grainger's benefits, please visit: GraingerTotalRewards.com

Please submit resume to https://jobs.grainger.com, reference job #336279.

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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 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.

About Grainger

Our welcoming workplace provides the support you need to build your career while fulfilling our purpose: We Keep The World Working®.

Size: 10,000+ employees
Industry: Information Technology

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