GTG Intern - Applied Machine Learning

 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:

This position is hourly, and the starting pay rate is $40/hour

Rewards and Benefits:

• Medical, dental, vision, and life insurance coverage starts on day one of employment.
• Access to up to 50% of your paycheck based on hours worked before payday.
• 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, parental leave, and other benefits.
• Safety shoes provided (where applicable).

For additional information and details regarding Grainger’s benefits, please click on the link below:

https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

The rate of pay provided above is not a guarantee of compensation. The rate reflects the expected base pay for this role at the time of this posting based on the job grade for this position. 

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.  

Position Details: 

We are seeking a talented and motivated Applied Machine Learning Intern to join our team, working at the intersection of ML Engineering and Data Science. The ideal candidate will have a passion for discovering insights from data, eagerness to learn new technologies, excellent communication skills, the ability to work collaboratively, and a commitment to producing high-quality work.  

This role offers an exciting opportunity to conduct innovative research, develop cutting-edge machine learning models, and contribute to the productionization of ML solutions. 

You Will:

• Conduct fundamental and innovative research in applied machine learning
• Assist in the productionization of ML models and solutions when required 
• Formulate approaches to solve complex problems using well-defined algorithms and data sources 
• Perform data exploration to uncover new questions or opportunities within your problem area 
• Propose and evaluate the applicability and limitations of data in various contexts 
• Collaborate with cross-functional teams to integrate ML solutions into existing systems 

You Have:

• Currently pursuing MS/PhD in Engineering or Applied Sciences, preferably Computer Science, Electrical Engineering, or Physics/Mathematics 
• Strong focus on Natural Language Processing (NLP) and Information Retrieval is highly desirable 
• Proficiency in Python and SQL 
• Experience building models using frameworks like PyTorch or TensorFlow 
• Solid understanding of Unix command line for high performance computing 
• Ability to explain both the intuition and mathematical foundations behind ML algorithms 
• Strong grasp of concepts and foundations in discrete mathematics 

Preferred Qualifications:

• Familiarity with version control systems (e.g., Git)  
• Experience with cloud computing platforms (AWS, GCP, or Azure) 
• Knowledge of distributed computing frameworks (e.g., Spark) 
• Experience with containerization technologies (e.g., Docker) 

 We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are also committed to fostering an inclusive, accessible work 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, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.