About the role#
This co-op position offers students in Computer Science, Computer Engineering, or Data Science the chance to apply AI tools to manufacturing and office environments. You will work on-site to identify ways to improve workflows, build AI models, and help teams across the company understand how to use these technologies effectively.
What you'll do#
- Analyze current office and manufacturing processes to find new AI use cases.
- Build and test AI models using Python and other relevant tools.
- Work with various departments to understand their challenges and propose AI-driven solutions.
- Create and lead AI training sessions for employees.
- Help draft internal policies, ethical guidelines, and best practices for AI use.
What you'll need#
- Current enrollment at an accredited college or university.
- A cumulative GPA of 3.0 or higher.
- Proficiency in programming languages, specifically Python.
- Experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with machine learning, natural language processing, or computer vision.
Location & details#
- This is a full-time, paid, on-site role based in Avon, Ohio.
- The position operates on a rolling term basis.
About Knorr-Bremse AG
Knorr-Bremse AG manufactures braking systems and other equipment for rail and commercial vehicles. Founded in 1905, the company maintains operations in 30 countries with over 100 locations. It employs approximately 30,500 people and is headquartered in Munich, Germany. The business operates across two primary divisions and reported revenues of roughly 7.9 billion euros in 2024.
How to get in at Knorr-Bremse AG
Securing an internship at Knorr-Bremse requires speed because many roles receive high volumes of applications. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first before the pile grows. Applying early ensures your profile is seen while recruiters are still actively reviewing candidates. You can also use Intern Insider to surface the recruiters behind the company's roles. Reaching out directly to ask about the role or a referral often improves your response rate compared to waiting for a system update. It is a practical way to show genuine interest in the engineering or manufacturing work Knorr-Bremse does.
