GTG Intern - Applied Machine Learning

  • Chicago, IL
  • Posted 31 days ago | Updated 7 hours ago

Overview

On Site
USD 40.00 per hour
Full Time

Skills

Customer Relationship Management (CRM)
Repair
MRO
Technical Support
Inventory Management
Data Science
Communication
Research
Algorithms
Collaboration
Computer Science
Mathematics
Machine Learning (ML)
Transformer
Python
SQL
Version Control
Git
Natural Language Processing
Computer Vision
Law
Recruiting

Job Details

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

Compensation:

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

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:
  • Majors in an area of computing, e.g., Computer Science or Applied Math
  • Has a strong foundation in ML, including transformer-based models
  • Can code in Python and SQL
  • Familiar with version control systems like Git

Preferred Qualifications:
  • Currently enrolled in a graduate program (MS or PhD)
  • Expected to graduate in the year following the internship
  • Practical experience in Natural Language Processing (NLP) or Computer Vision (CV)
  • Has some industry experience

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.