Senior Applied Machine Learning Scientist

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.

Compensation

The anticipated base pay compensation range for this position is $131,200.00 to $218,700.00.

Rewards and Benefits:

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution 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.

• Design, build, monitor, and maintain agentic processes to address Grainger's product media needs.

• Utilize a broad array of technologies and techniques including Deep Learning, LLMs, VLMs, Fine-tuning, Prompt optimization to enhance the way Grainger manages rich content.

• Work closely with other ML scientists, engineers, and product managers to design and develop AI/ML solutions for scale and integrate your models into Grainger's platforms. Optimize AI/ML models for scalable deployment.

• Build and maintain AI/ML pipelines.

• Work backward from customer use cases, design, implement, and deploy ML models that solve the use cases at scale.

• Take part in strategic planning and direction of our ML initiatives, ensuring they align with business objectives and drive high value

• Demonstrate and present concepts, designs, applications, project deliverables to the team.

• Share your knowledge and expertise with team members, fostering an environment of learning and growth within the broader team

• Minimum of 3 years of experience in the industry delivering ML solutions

• MS or PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience

• Experience with deep learning frameworks such as PyTorch, Tensorflow, Huggingface

• Experience building and/or deploying production ML systems

• Experience building models and pipelines with data platforms such as AWS Sagemaker, Databricks

• Ability to effectively communicate technical solutions to engineering teams and business audiences

• Familiarity with machine learning libraries like LangChain, LlamaIndex, Autogen or Crew.ai

• Experience deploying models into the cloud with tooling like Docker & Kubernetes

• Experience automating data augmentation and refresh using Airflow and Bash Scripting