About Grainger:

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Position Details:

As a Senior Machine Learning Engineer at Grainger you will design, deploy, and maintain workflows and APIs serving ML models for entity resolution, geospatial informatics, and LLM digital assistants. Reporting to a Manager of Applied Machine Learning, you will serve as an embedded resource in production-critical projects with machine learning components. This position can be fully remote, or a hybrid work environment based in either downtown Chicago or Lake Forest, Illinois

Pay:

This position is salaried and will pay between $127500 - $196350 with a target bonus of 10%.

The range provided is a guideline and not a guarantee of compensation. Other factors that are involved in offer decisions include, and are not limited to: a candidate's experience, qualifications, geographical area, and internal equity of the team.

You Will:

• Use Python, Snowflake, Kubernetes, Airflow and/or Databricks to host and orchestrate a variety of machine learning models and applications. 
• Collaborate with Applied Machine Learning Scientists to deploy new models and monitor and manage change of existing models. 
• Participate in ML model development including experimentation, design, and feature engineering. 
• Promote engineering best-practices in the Applied Machine Learning organization, such as: unit/integration tests, CI/CD, documentation, drift monitoring, and model version management. 
• Maintain production-critical components of an enterprise customer information management system, working closely with Data/Software Engineers and business partners.  
• Collaborate with solutions architects and business partners to align on SLOs and data contracts for new workflows and services. 
• Communicate clearly and frequently with business partners and stakeholders. 

You Have:

• MS or PhD in Computer Science, Electrical Engineering, Data Science, or Physics. 
• 3+ years of experience in Data Science and/or ML/Data/Software Engineering 
• Deep knowledge of the standard scientific Python stack, advanced SQL, and GPU computing via tensorflow, torch, or similar. 
• Experience translating mathematical concepts into performant code, complete with automated tests. 
• Proficiency with Docker, Kubernetes, Airflow, CI/CD tools and one or more major cloud providers.

Rewards and Benefits:

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger.

• Paid time off (PTO) days and 6 company holidays per year
• Benefits starting on day one, including medical, dental vision and life insurance
• 6% 401(k) company contribution each pay period with no personal contribution required
• Employee discounts, parental leave, tuition reimbursement, student loan refinancing, free access to financial counseling, education and more.

DEI Statement

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.

#LI-Hybrid #LI-Remote