Machine Learning Engineer II

W.W. Grainger - Lake Forest, IL

Full-time - Mid Level

Hybrid - Lake Forest, IL

1,001-5,000 employees

Merchant Wholesalers, Durable Goods

About the position

The Machine Learning Engineer II position at Grainger focuses on inventory optimization and advanced analytics. This role involves developing and supporting machine learning solutions to enhance decision-making regarding inventory management across a vast network of distribution centers and branches. The engineer will collaborate with data scientists to create automated processes for data analysis and model deployment, ensuring efficient operations and innovative solutions that align with the company's strategic goals.

Responsibilities

• Create scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and deployment.
• Oversee machine learning solutions, collaborating with data scientists to foster ongoing continuous improvement.
• Explore emerging technologies to evaluate their potential application to the team's objectives and deploy innovative solutions.
• Automate critical system operations, design robust ETL pipelines, and develop web applications for stakeholder interaction with ML and ERP systems.

Requirements

• 2+ years of experience deploying and maintaining production machine learning solutions with Python.
• Exposure or familiarity with AWS products (s3, ECR, Secrets Manager).
• Follow software engineering practices and use version control and CI/CD tools (GitHub, GitHub Actions).
• Proficient in usage of databases (Snowflake, DuckDB) and querying languages (e.g. SQL).
• Experience working in containerization ecosystems (Kubernetes, Docker).
• Familiarity with machine learning models and concepts (time series forecasting, clustering).
• Experience automating workflows using orchestration (Astronomer, Airflow).

Benefits

• Medical, dental, vision, and life insurance plans
• Paid time off (PTO) and 6 company holidays per year
• Automatic 6% 401(k) company contribution each pay period
• Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
• A comprehensive set of emotional, financial, physical, and social wellbeing programs