ML Engineering Manager

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:

You will work with world-class scientists and technologists as we assemble a team to develop cutting-edge capabilities to further Grainger’s technological leadership in the MRO industry. 

You will be a part of the team that will build advanced, innovative technologies and solutions to solve a wide spectrum of business and customer challenges. Grainger’s business-centric innovation methodology will empower the team to experiment with leading-edge technology, such as Computer Vision, Deep Learning, Conversational AI, 3D Imaging and LiDAR, Augmented/Virtual Reality, AI Robotics & IoT, and multimodal Machine Learning. You will work closely with other production teams within Grainger’s Technology Group (GTG) to harvest innovations into product roadmaps and scale them for production. 

As a Machine Learning Engineering Manager, you have expertise in machine learning to lead our team of developers in designing, developing, and deploying innovative software solutions. They will work closely with cross-functional teams to identify, design, and implement software solutions that meet business needs. 

You will report to the Senior Manager, AI & ML Enablement and will be based in either Chicago or Lake Forest, IL.

You Will:

• Manage and lead a team of full-stack engineers to deliver high-quality software solutions that meet business requirements for AI/ML use cases.
• Work with cross-functional teams to design, develop, and implement software solutions that incorporate machine learning algorithms and techniques. 
• Design and develop scalable architectures for our applications, ensuring that they can handle large volumes of data and complex processing requirements. 
• Manage and mentor team members to ensure that they are up to date with the latest developments and best practices in software development with a. focus on machine learning 
• Participate in code reviews and quality assurance activities to ensure that the team is delivering high-quality code that is well documented, tested, and maintainable. 
• Keep up to date with emerging trends and technologies in machine learning and software development, and make recommendations for their adoption where appropriate 

You Have:

• Bachelor's degree in Computer Science or a related field 
• 5+ years of experience in software engineering or related field 
• 2+ years of experience in supporting machine learning engineering, including experience with model training, evaluation, and deployment 
• 2+ years of experience managing a team of engineers 
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) 
• Experience with AWS SageMaker is a plus.  
• Experience in designing and implementing machine learning solutions. 
• Proficiency in programming languages such as Python, Java, JavaScript, and SQL. 
• Familiarity and experience with front-end frameworks such as React, Angular, or Vue.js and back-end frameworks such as Node.js, Django, or Flask. 

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.

• Medical, dental, vision, and life insurance coverage starts day one
• Paid time off (PTO) days and 6 company holidays per year
• 6% 401(k) company contribution each pay period
• Education assistance, including financial counseling, tuition reimbursement and low-cost degree options
• Employee discounts, parental leave, 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.