Intern - Automation and Machine Learning Engineer

Coherent Corp. • Sherman, TX

7d • Onsite

About The Position

We are seeking a motivated and detail-oriented Automation & Machine Learning
Engineer Intern to join our Automation team for Summer 2026. In this role, the
intern will gain hands-on experience applying machine learning, advanced
analytics, and data-driven insights to semiconductor manufacturing, working
alongside our team and cross-functional engineering groups. The intern will
contribute to meaningful projects that support process optimization and anomaly
prediction for the Sherman wafer manufacturing facility.

Requirements

• Education Level Required: Bachelor's (rising senior)/ Master’s
• Majors: Computer Science, Engineering, Mathematics, Physics or related STEM fields
• Project, academic, or coursework experience in predictive analytics, machine learning, or data science, with exposure to techniques such as deep learning, neural networks, or reinforcement learning. Experience with semiconductor manufacturing data or processes is a plus.
• Open to currently enrolled students at the internship start date.
• 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.
• Internship Duration: 10 – 14 weeks.
• All employees are required to follow the site EHS procedures and Coherent Corp. EHS standards.
• Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.: Integrity – Create an Environment of Trust Collaboration – Innovate Through the Sharing of Ideas Accountability – Own the Process and the Outcome  Respect – Recognize the Value in Everyone Enthusiasm – Find a Sense of Purpose in Work

Nice To Haves

• Project, academic, or coursework experience in predictive analytics, machine learning, or data science, with exposure to techniques such as deep learning, neural networks, or reinforcement learning. Experience with semiconductor manufacturing data or processes is a plus.

Responsibilities

• Analyze manufacturing datasets to identify patterns, correlations, and potential process anomalies using advanced analytics and machine learning techniques.
• Develop and implement data pipelines to extract, transform, and integrate data from multiple sources into structured data models.
• Build and evaluate predictive models and anomaly detection algorithms to support early detection of process deviations and improve manufacturing performance.
• Identify relevant data features, labels, and training datasets to support predictive modeling and analysis.
• Collaborate with engineering teams to translate manufacturing requirements into data-driven solutions and automation workflows.
• Present project results and deliver a working prototype with documented methodologies, models, and findings at the end of the internship.

What This Job Offers

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