Senior Applied Machine Learning Scientist

Key Skills

Continuous Integration & Continuous Delivery - CI/CD, Docker, Kanban, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL

Job Description

Grainger'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 Will

• Design, build, deploy, and maintain advanced machine learning models ensuring they are scalable, efficient, and impactful
• Utilize a broad array of technologies including NLP, LLMs, and computer vision to enhance Grainger's product discovery experience
• Work closely with other ML scientists, engineers, and product managers to integrate your models into Grainger's platforms
• Keep abreast of the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work
• Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale
• Articulate concepts and generate visual representations of your work and the impact it creates
• Share your knowledge and expertise with team members, fostering an environment of learning and growth within the Product Discovery team

 You Have

• At least 3 years of industry experience delivering ML solutions
• Bachelor’s degree in computer science, applied math, physics, or a related field
• Proficient in Python and SQL
• Experience with text analytics and natural language processing (NLP)
• Experience with deep learning and transformer-based modeling methods
• Experience deploying ML models using containerization and container orchestration technologies such as Docker and Kubernetes
• Experience with machine learning libraries and tools for developing models and deploying them as API endpoints
• Experience 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 writing

Preferred

• Master’s or PhD degree
• Experience in computer vision
• Understanding of LLMs, including their development and application in processing and understanding natural language
• Experience working in an Agile environment such as in Scrum or Kanban

Rewards 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 wellbeing
• Paid time off (PTO) and 6 company holidays per year
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match required
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education and tools
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents

We 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.