Spring 2027 Machine Learning Co-Op
An on-site Spring 2027 co-op in Parsippany, NJ supporting a machine learning project in Marotta Controls' Power and Actuation Systems business unit. The student collects and cleans engineering data, builds and evaluates ML models in Python, documents findings, and presents results to leadership, with a path to continue into Summer 2027.
- Compensation
- $18–$24 / hr
- Location
- Parsippany, NJ
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Internship
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- 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 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
- Ability to work effectively both independently and as part of a multidisciplinary engineering team
- U.S. Citizenship required
- Availability to work full-time onsite January 2027 through the end of Summer 2027
Nice to have
- Experience developing a machine learning or AI project through coursework, research, competitions, or personal projects
- Interest in applying machine learning to aerospace, defense, manufacturing, test, or engineering applications
- Familiarity with TensorFlow or PyTorch
Full description
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—apply today!
Spring/Summer 2027 Machine Learning Co-OpAbout the Program
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
Potential for Full-Time Employment
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.
What You’ll Do
- 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.