Spring Machine Learning Co-Op

Position:Spring 2027 Machine Learning Co-Op

Location: Parsippany, NJ

Job : - FY28

# of Openings:2

Elevate your career at Marotta Controls, a New Jersey Top Workplace four years running!

Dedicated to innovation, quality and excellence, we deliver cutting edge control systems for the Aerospace & Defense industry. At Marotta, we value bold thinking and teamwork, and we empower our employees to push boundaries while delivering top-tier solutions to our customers. Our team fosters a fun, collaborative culture where creativity and technical excellence thrive! Your next big opportunity starts here. Be part of a company where your work supports a mission that makes a difference!

Join Marotta Controls’ Co-Op Program and take your classroom knowledge into the real world of aerospace and defense. As a Machine Learning Co-Op, you’ll gain hands-on experience supporting an business project focused on machine learning and data-driven technology while working alongside experienced technical professionals.

During your rotation, you’ll help explore, develop, test, and evaluate machine learning solutions that can support business applications and needs within the Power and Actuation Systems Business Unit. You’ll apply programming, data analysis, and machine learning concepts to a real-world project while gaining exposure to aerospace and defense engineering.

You’ll receive mentorship throughout the program and present your project, results, and key learnings to senior leadership at the end of your rotation. Along the way, you’ll also network with other interns and employees through professional development, technical learning, and engagement events.

Location: Parsippany, NJ (On‑Site Monday - Friday)
Term: Spring 2027 with the opportunity to continue into Summer 2027
Business Unit: Power and Actuation Systems

Our Co-Op program provides an opportunity to gain hands‑on experience, develop valuable technical and professional skills, and potentially transition into a full‑time position based on performance and organizational needs.

• Support the development and implementation of a machine learning project.
• Collect, organize, clean, and analyze engineering data for use in machine learning models.
• Develop, train, test, and evaluate machine learning algorithms and models.
• Write and maintain code used for data processing, analysis, model development, and testing.
• Evaluate model performance and help identify opportunities to improve accuracy, efficiency, and reliability.
• Create visualizations and technical summaries to communicate findings and project results.
• Document methodologies, assumptions, test results, and technical findings.
• Collaborate with engineering and cross-functional teams to understand project requirements and translate business or technical problems into data‑driven solutions.
• Present project progress and final results to engineering leadership and other stakeholders.

• Currently enrolled in a Data Science, Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, or related technical degree program.
• Strong GPA and demonstrated performance in core engineering, computer science, mathematics, or programming coursework.
• Coursework or hands‑on experience in machine learning, artificial intelligence, data science, or statistical modeling.
• Programming experience with Python.
• Familiarity with common data analysis or machine learning libraries such as Num Py, Pandas, scikit-learn.
• Understanding of fundamental machine learning concepts such as supervised and unsupervised learning, model training, validation, and performance evaluation.
• Experience working with datasets,…