What are the responsibilities and job description for the Machine Learning Intern - Summer 2025 position at Norfolk Southern?
Requisition 38171 :
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Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you'll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.
A Day in the Life of an Machine Learn Intern
As an intern work within the Machine Learning team, you'll gain real life experience during your college academic career. As a Machine Learning Intern, 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.
- 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.
Education Required
Skills Required
Skills Preferred :
Work Conditions
Environment : Hybrid (two days in office; three days remote)
Duration : 12 weeks
Schedule : Monday through Friday; 9AM -5PM
Company Overview
Since 1827, Norfolk Southern Corporation (NYSE : NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country's population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com.
At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.
Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.
