Senior Applied Machine Learning Scientist

As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years.Position DetailsGrainger's Product Discovery team seeks a Sr. Applied Machine Learning (ML) Scientist to develop cutting-edge ML solutions for Product Matching. Our innovative solutions enable customers to discover products that match their needs at market-competitive prices. These solutions are central to Grainger's mission, "We Keep the World Working." You will report to Sr Manager, Applied Machine Learning. The work location is hybrid which requires working in either our Chicago or Lake Forest office 2-3 days per week and you have the flexibility to work from home 2-3 days per week. This is not a remote position and we are open to partial relocation assistance.You WillDesign, build, deploy, and maintain advanced machine learning models ensuring they are scalable, efficient, and impactfulUtilize a broad array of technologies including NLP, LLMs, and computer vision to enhance Grainger's product discovery experienceWork closely with other ML scientists, engineers, and product managers to integrate your models into Grainger's platformsKeep abreast of the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your workWork backward from customer use cases, engender implementation of ML models that solves the use cases at scaleArticulate concepts and generate visual representations of your work and the impact it createsShare your knowledge and expertise with team members, fostering an environment of learning and growth within the Product Discovery teamYou HaveAt least 3 years of industry experience delivering ML solutionsBachelor's degree in computer science, applied math, physics, or a related fieldProficient in Python and SQLExperience with text analytics and natural language processing (NLP)Experience with deep learning and transformer-based modeling methodsExperience deploying ML models using containerization and container orchestration technologies such as Docker and KubernetesExperience with machine learning libraries and tools for developing models and deploying them as API endpointsExperience with Git, and Continuous Integration/Continuous Deployment (CI/CD)Ability to effectively communicate technical solutions to both technical and business audiences, both verbally and in writingPreferredMaster's or PhD degreeExperience in computer visionUnderstanding of LLMs, including their development and application in processing and understanding natural languageExperience working in an Agile environment such as in Scrum or KanbanRewards and Benefits:With benefits starting day one, our programs provide choice and flexibility to meet team members' individual needs. Check out the highlights below and review all our benefits at GraingerTotalRewards.com.Medical, dental, vision, life, and pet insurance plans and 6 free sessions each year with a licensed therapist to support your emotional wellbeingPaid time off (PTO) and 6 company holidays per year6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match requiredEmployee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education and toolsMaternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parentsWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.We are committed to fostering an inclusive, accessible 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. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.#LI-LP4