AI/ML Engineering Intern; Summer Internship
Listed on 2026-06-26
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Software Development
AI Engineer (Applied/Software), Software & AI Developer Internship, Machine Learning/ ML Engineer, Python
ABOUT THE ROLE
Join a team that designs, develops, and integrates highly complex software applications within Honeywell. You will be an active and integral member of a team to achieve the completion of goals. You will also generate innovative solutions in work situations; trying different and novel ways to deal with problems and opportunities. Use your skill set to provide value added software features to our products for our customers.
Accelerate innovation and growth, teaming with the world’s most talented engineers. We invite you to discover for yourself why a career with Honeywell is the opportunity you've been looking for!
Through hands‑on learning experiences, global exposure, networking, and professional development opportunities, Honeywell interns will shape the future. You’ll have the opportunity to work alongside industry experts, lead initiatives that refine technical skills, and have unparalleled mentorship and growth opportunities that will elevate your career. Futureshaper
WHAT YOU WILL LEARN- Model, build and test AI software to ensure it can take large swatch of data and achieve desired results
- Use Python, JavaScript and C++ to create a faster, more capable AI
- Evaluate statistics, data and algorithms to increase productivity of assets, people and processes in industrial applications/use cases
- Work with team of machine‑learning and data engineers to develop seamless AI and integration
- Stay current on AI knowledge, trends, and regulations
- Collect, organize, and present progress with team leadership and stakeholders
- Currently pursuing a bachelor’s or master’s degree from an accredited college or university in Engineering or Computer Science
- Must graduate after December 2024
- Must continue enrollment in degree program upon completion of the internship
- Understanding of data science, linear algebra, algorithms, and statistics
- Demonstrated ability to develop efficient and high‑quality software and in-depth knowledge of computer programming language such as Python, JavaScript and C++
- Willingness to learn and continue developing knowledge in an up‑and‑coming field
- Excellent problem‑solving skills with the ability to thrive in a demanding fast‑paced work environment
- Strong interpersonal and communication skills and a willingness to collaborate cross‑functionally with different teams
- Validated academic excellence (3.0 GPA and higher)
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