AI Engineer Intern

Job Description

AI Engineer Intern

Requisition ID: 5686

Job Location: TEMPE - Arizona - United States

Category for Job Posting: Engineering and Technical

Job Type for Job Posting: Intern or Co Op

Working Mode for Job Posting: Fully On-Site

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About Us

At CNH, we're driven by a clear purpose: we serve and advance the people who feed and build a growing world.

As a global leader in agriculture and construction, we create the equipment, technology, and solutions that help our customers work more productively and sustainably. Our success starts with our people, and we foster a collaborative culture where innovation thrives and every employee has the opportunity to grow.

Grow a Career. Build a Future.

If you're ready to make an impact and build a career with purpose, there's a place for you at CNH.

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Job Purpose

The AI Engineer Intern will assist in developing innovative new products to solve problems using AI techniques, such as Machine Learning and Deep Learning to drive AI advancements in new product development and provide continual refinement of existing products. Generating software systems derived from various Machine Learning (ML) techniques to drive innovation. Generating software systems derived from various Deep Learning techniques to improve usability.

Intern Program Overview:

We are committed to building a strong talent pipeline by investing in early career professionals. Our internship and co-op programs provide mentorship, training, hands-on experience, and growth opportunities that empower students to explore their career paths with confidence. Through competitive wages, networking events, social and volunteer activities, professional development workshops, and housing support, we strive to deliver one of the best internship experiences-designed to develop and inspire the talent of tomorrow. Summer interns work full-time (40 hours per week) from May through August. Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program.

Key Responsibilities

• Design, implement, and deploy software systems incorporating classical machine learning techniques to solve well-scoped engineering and product problems.
• Develop and integrate deep learning models (CNNs, transformers, and other architectures as appropriate) into production software, including training, evaluation, and inference pipelines.
• Implement data preprocessing, feature engineering, and augmentation pipelines, and support model optimization for target hardware through techniques such as quantization, pruning, and format conversion (e.g., ONNX, TensorRT, TFLite).
• Contribute as an active member of a Scrum team, delivering working, tested software within each sprint and participating in planning, estimation, and retrospectives.
• Write, review, and document software using test-driven development (TDD), including unit, integration, and regression tests, with an emphasis on reproducibility and maintainable code.
• Build automated test environments, simulation frameworks, and CI/CD pipelines to validate model and system behavior across releases.
• Conduct manual and bench testing, and prepare software builds and configurations for field deployment and customer installation.
• Support end users through software troubleshooting, root-cause analysis, defect resolution, and technical training.
• Research and evaluate algorithms, libraries, datasets, and third-party tools relevant to assigned projects, and make evidence-based recommendations.
• Collaborate with internal teams and external partners to gather, clarify, and communicate technical and data requirements.
• Support software asset management, including dependency tracking, licensing, and maintenance contracts.
• Prepare and present technical reports, metrics, and recommendations to engineering and stakeholder audiences.
• Participate in continuous improvement of team tooling, processes, and engineering standards.

Experience Required

• Pursuing a master's degree (or higher) in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related technical field (or a Bachelor's degree with equivalent relevant experience).
• Proficiency in C++ (modern C++11/14/17 or later), including familiarity with memory management, concurrency, and performance-conscious development.
• Programming experience in Python, particularly within the ML/scientific stack (e.g., NumPy, PyTorch or TensorFlow, scikit-learn).
• Working understanding of machine learning and deep learning fundamentals, including model training, evaluation metrics, and common failure modes.
• Experience with version control (Git) and collaborative development workflows.
• Familiarity with software testing practices and CI/CD concepts.
• Strong problem-solving skills and the ability to communicate technical concepts clearly, both written and verbally.

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including:

• Flexible work arrangements
• Savings & Retirement benefits
• Tuition reimbursement
• Parental leave
• Adoption assistance
• Fertility & Family building support
• Employee Assistance Programs
• Charitable contribution matching and Volunteer Time Off

#LI-Hybrid

Click here to learn more about our benefits offerings! (US only)

US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "Know Your Rights" poster here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.

Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation.

If you need reasonable accommodation with the application process, please contact us at narecruitingmailbox@cnh.com.

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