Intern - Data Scientist

Job Summary

We are seeking a motivated Data Scientist Intern to join our SiC Data Systems team for Summer 2026.

The intern will gain hands-on experience in Machine-Learning and Artificial Intelligence applications in manufacturing, work alongside software / data professionals, and meaningfully contribute to projects that support large-scale manufacturing of the next-generation semiconductor SiC materials.

Primary Duties & Responsibilities


* Projects will be in LLM implementation (Retrieval-Augmented Generation) or machine-learning-based defect classification.


* Guided ownership of entire project pipeline: problem identification, process discovery, solution design, and implementation.


* Key skills involved include dataset construction, model training & validation, semantic layer engineering.


* Close collaboration with software engineers, data scientists, and business stakeholders.


* By the end of the internship, a prototype of the selected project is expected.

Education & Experience


* Open to currently enrolled students or those who have graduated within one year of the internship start date.


* Education Level Required: pending bachelor's degree (rising senior) at minimum.

A pending master's or doctoral degree is beneficial.


* Majors: Computer Science, Mathematics, Physics, Engineering, or other related STEM fields.


* Relevant coursework or extracurricular experience in material science or manufacturing is a plus.


* Must be US citizen or permanent resident.

Skills & Other Requirements


* 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 but able to work independently when needed.


* Adaptable and eager to learn in a fast-paced environment.


* Attention to detail and time management.

Additional Information


* Internship Duration: 10 - 14 weeks.


* At Coherent, interns are valued members of our team and have the opportunity to make meaningful contributions from day one.

In addition to hands-on project experience, our internship program includes opportunities to connect with fellow interns and colleagues across the organization through virtual and in-person networking events, team-building activities and more.

Interns are expected to actively participate in these events as part of their professional development and to fully immerse themselves in our collaborative and innovative culture.

Working Conditions


* This role will be based on-site in Pine Brook, NJ, with on-demand travel to Easton, PA.


* Regular use of a computer and other office equipment is necessary.


* Depending on the project, regular light technical work in advanced manufacturing setting, such as in clean rooms, might be necessary.

Physical Requirements


* Sitting for extended periods ...