Spring 2027 Machine Learning Co-Op

Marotta Controls•Parsippany, NJ

7d•$18 - $24•Onsite

About The Position

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. This 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.

Requirements

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 NumPy, 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, performing data analysis, or developing technical projects through coursework, research, or personal projects.
Strong analytical and problem-solving skills.
Detail-oriented, precise, organized, and comfortable documenting technical work.
Strong written and verbal communication skills with the ability to explain technical concepts and findings.
Ability to work effectively both independently and as part of a multidisciplinary engineering team.
U.S. Citizenship required.
Availability to work full-time onsite beginning January 2027 through the end of Summer 2027.

Nice To Haves

Experience developing a machine learning or artificial intelligence project through coursework, research, competitions, or personal projects.
Interest in applying machine learning technologies to aerospace, defense, manufacturing, test, or engineering applications.
Familiarity with TensorFlow, or PyTorch.

Responsibilities

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.