Artificial Intelligence/Machine Learning Intern - Summer 2025
HoneywellJoin Honeywell as an AI/ML Intern
About Honeywell
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
About The Role
Join a team that designs, develops, and integrates highly complex software applications within Honeywell. As an Artificial Intelligence, Machine Learning Intern here at Honeywell, you will have the opportunity to gain hands-on experience and contribute to cutting-edge AI projects. You will work closely with our team of talented AI engineers and researchers to develop and implement innovative solutions. This internship will provide you with valuable insights into the field of AI and machine learning, and you will have the chance to apply your knowledge in a real-world setting.
What You Will Learn
- Model, build, and test AI software to ensure it can process large datasets and achieve desired results.
- Use Python, JavaScript, and C++ to create faster, more capable AI systems.
- Evaluate statistics, data, and algorithms to increase productivity in industrial applications.
- Collaborate with a team of machine-learning and data engineers to develop seamless AI integrations.
- Stay current on AI knowledge, trends, and regulations.
- Collect, organize, and present progress to team leadership and stakeholders.
Minimum Qualifications
- Must be currently pursuing a bachelor’s degree (or higher) from an accredited college or university in Engineering, Computer Science, or a similar field.
- Must graduate December 2025 or later.
- Must continue enrollment in degree program upon completion of the internship.
- Validated academic excellence (3.0 GPA and higher).
- Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.
We Value
- Understanding of data science, linear algebra, algorithms, and statistics.
- Demonstrated ability to develop efficient and high-quality software.
- Experience in developing and deploying end-to-end AI/ML solutions.
- Understanding of data warehousing.
- 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.
Benefits Of Interning For Honeywell
- Professional development and mentorship opportunities.
- Exposure to cutting-edge technologies and industry trends.
- Networking opportunities with professionals in the field.
- Hands-on experience in a global company.
- Interns may qualify for relocation benefits and short-term housing (excludes Puerto Rico and Canada).
Location
This position is available in multiple locations across the United States.
Pay Range
The hourly base salary range for this position is $25.00/hr - $38.50/hr. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.
Equal Opportunity Employer
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
Benefits Extracted with AI
- Professional development and mentorship opportunities
- Exposure to cutting-edge technologies and industry trends
- Networking opportunities with professionals in the field
- Hands-on experience in a global company
- Potential relocation benefits and short-term housing
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