Process Improvement & AI Intern

Joining the Metallus team means becoming part of a legacy that dates back over a century. We are an industry leader, manufacturing the cleanest steel in the world for companies in the industrial, aerospace and defense, automotive, and energy markets.

Metallus Internship Program

At Metallus, our internship program is designed to make you part of our team. You will have opportunities to grow your skills, develop as a leader, and network with our managers and leaders. Our program allows you to gain real work experience in a team environment. Metallus also supports your career readiness development through workshops with topics like resume building and interview prep.

Metallus Internship Includes

• Competitive salary ($19.25-$33.50 per hour)
• Based upon major, degree type, and class status
• Housing options (if eligible)
• Free access to our 24/7 Wellness Center
• Real-world experience that provides a competitive edge upon graduation
• Casual work environment
• Career planning and development workshops
• Organized social activities and community service events
• Networking with leadership, hiring managers, and early career colleagues
  

Internship Assignment: Full Time – Summer 2027

• Start date: 05/17/2027
• Assist with AI and advanced analytics projects, including data preparation, analysis, and visualization.
• Support continuous improvement and process optimization projects within manufacturing operations.
• Use manufacturing, reliability, and operational data to identify improvement opportunities related to OEE, delays, throughput, quality, and cost.
• Present findings, insights, and recommendations at the conclusion of the internship.

Internship Qualifications

• Minimum cumulative GPA of 2.5
• Must have completed 30 or more credit hours by the end of the spring 2027 semester
• Must be a full-time student attending an accredited two-year or four-year college/university
• Preferred majors: Manufacturing Engineering, Industrial Engineering, Data Analytics, Computer Science, Statistics, or related
• Exposure to Lean manufacturing, Six Sigma, or continuous improvement concepts
• Coursework or experience related to AI, machine learning, or data science

The company prohibits harassment or discrimination against any employee on the basis of any status protected by law, including, but not limited to, race, religion, color, national origin, ancestry, age, disability, genetic information, gender, sex or veteran status.