Data Science Intern: ML & LLM for Manufacturing

SupportFinity™; United States; On-site; USD 27,552 - 41,328; Full time

Job summary

SupportFinity™ is seeking a motivated Data Scientist Intern for Summer 2026 to join our SiC Data Systems team, gaining hands-on experience in Machine Learning and AI applications in manufacturing.

The internship will focus on LLM implementation and defect classification, requiring collaboration with data professionals. Candidates should be pursuing a relevant degree and be US citizens or permanent residents. Internship lasts 10-14 weeks and includes networking events and team-building activities.

Qualifications

• Open to currently enrolled students or recent graduates.
• Relevant coursework or extracurricular experience in material science or manufacturing is a plus.
• Must be US citizen or permanent resident.

Responsibilities

• Projects in LLM implementation or machine-learning defect classification.
• Ownership of entire project pipeline from identification to implementation.
• Collaboration with software engineers, data scientists, and business stakeholders.

Skills

Proficiency in AI model training or LLM context engineering

Familiarity with Python-based data science ecosystem

Sound understanding of foundations of AI/ML technologies

Excellent written and verbal communication

Team-oriented

Adaptable and eager to learn

Attention to detail and time management

Education

Pending bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or related STEM fields

Job description

SupportFinity™ is seeking a motivated Data Scientist Intern for Summer 2026 to join our SiC Data Systems team, gaining hands-on experience in Machine Learning and AI applications in manufacturing.

The internship will focus on LLM implementation and defect classification, requiring collaboration with data professionals. Candidates should be pursuing a relevant degree and be US citizens or permanent residents. Internship lasts 10-14 weeks and includes networking events and team-building activities.