AI Engineer Intern
CNH Industrial is hiring an AI Engineer Intern in Tempe, AZ to build AI-powered product features: developing machine learning and deep learning models (CNNs, transformers) and integrating them into production software, including hardware optimization with ONNX, TensorRT, and TFLite. The full-time summer internship (May-Aug) requires C++ and Python skills and current enrollment in a degree program.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Currently enrolled college student actively pursuing a degree
- Master's degree in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or related technical field (or Bachelor's with equivalent relevant experience)
- Proficiency in modern C++ (C++11/14/17 or later), including memory management, concurrency, and performance-conscious development
- Python programming experience 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 ability to communicate technical concepts clearly, written and verbally
Full description
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.