Machine Learning Engineer Intern - Summer 2026

Norfolk Southern Corp. • Atlanta, GA

1d • Hybrid

About The Position

As an intern work within the Machine Learning team, you’ll gain real life experience during your college academic career. You will be working with a team of Machine Learning professionals who apply various cutting-edge machine learning and statistical techniques to real-life use-cases. You will develop skills and provide actionable insights to the business. You will have the opportunity of working with Norfolk Southern’s big data analytics platform. You’ll also gain railroad business knowledge in relation to Machine Learning models.

As a Norfolk Southern Intern, you will expect to gain the following experience:

• Hands-on Experience: engage in meaningful projects that align with your academic and career goals.• Mentorship: benefit from guidance and mentorship from seasoned professionals in your department.• Professionally Network: connect with professionals across various departments, building valuable relationships for your future career.• Learning Opportunities: access training and development resources to enhance your skills and knowledge.• Inclusive Environment: join a diverse and inclusive workplace that values collaboration and innovation.

Requirements

• Pursuing a Bachelors degree in machine learning, data science, computer science, electrical engineering, engineering, statistics, systems engineering, mathematical sciences, applied mathematics, or Physics.
• Active enrolled student during the months of May through August 2026.
• 1+ years of experience with python required.
• Hands-on and theoretical knowledge of various Machine Learning algorithms and tools (for both classification and regression problems (e.g. Random Forests, XGBoost SVM)

Nice To Haves

• Pursuing advanced degree, e.g., Ph.D. or M.S. in machine learning, data science, computer science, electrical engineering, engineering, statistics, engineering, systems engineering, mathematical sciences, applied mathematics, or Physics.
• Hands-on and theoretical knowledge of various Machine Learning algorithms and tools.
• Programming languages for software development such in Python.
• Expertise with Time Series problems is a plus.
• Experience with data visualization tool/software (e.g., matplotlib, seaborn, Tableau)
• Experience operating in a Unix/Linux operating.
• Database programming languages such as SQL.
• Machine learning, neural network, and deep learning

Responsibilities

• Assist with design, develop, and implement machine learning algorithms for unique use cases.
• Evaluate accuracy and quality of the designed models as well as data sources.
• Work on the latest models and changes in the technology.
• Communicate results and implications to colleagues and business partners.
• Collaborate effectively with team members and cross-functional partners.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees