Join a team recognized for leadership, innovation and diversityThe future is what you make it.
When you joinHoneywell, you become a member of our global team of thinkers, innovators,dreamers, and doers who make the things that make the future. That meanschanging the way we fly, fueling jets in an eco-friendly way, keeping buildingssmart and safe and even making it possible to breathe on Mars.
Working at Honeywell isnt just aboutdeveloping cool things. Thats why our employees enjoy access to dynamic careeropportunities across different fields and industries.
Are you readyto help us make the future?
ABOUT THEROLE:
Join a teamthat designs, develops, and integrates highly complex software applicationswithin Honeywell. As an Artificial Intelligence, Machine Learning Intern hereat Honeywell, you will have the opportunity to gain hands-on experience andcontribute to cutting-edge AI projects. You will work closely with our team oftalented AI engineers and researchers to develop and implement innovativesolutions. This internship will provide you with valuable insights into thefield of AI and machine learning, and you will have the chance to apply yourknowledge in a real-world setting.
WHAT YOU WILL LEARN:
- Model, build and test AI software to ensure itcan take large swatch of data and achieve desired results
- Use Python,JavaScript and C++ to create a faster, more capable AI
- Evaluatestatistics, data and algorithms to increase productivity of assets, people andprocesses in industrial applications/use cases
- Work with teamof machine-learning and data engineers to develop seamless AI andintegration
- Stay current onAI knowledge, trends, and regulations
- Collect,organize, and present progress with team leadership and stakeholders
Throughhands-on learning experiences, global exposure, networking, and professionaldevelopment opportunities, Honeywell interns will shape the future. Youll havethe opportunity to work alongside industry experts, lead initiatives thatrefine technical skills, and have unparalleled mentorship and growthopportunities that will elevate your career.
Futureshaper
Location: Thisposition is available in multiple locations across the United States.
Pay Range: The hourly basesalary range for this position is $25.00/hr - 38.50/hr. Please note that this salary informationserves as a general guideline. Honeywell considers various factors whenextending an offer, including but not limited to the scope and responsibilitiesof the position, the candidates work experience, education and training, keyskills, as well as market and business considerations.
MINIMUMQUALIFICATIONS:
- Must be currently pursuing a bachelors degree (or higher) from an accredited college oruniversity in Engineering, Computer Scienceu202For similar field
- Must graduate in December 2025 or later
- Must continueenrollment in degree program upon completion of the internship
- Validatedacademic excellence (3.0 GPA and higher)
WE VALUE:
- Understandingof data science, linear algebra, algorithms, and statistics
- Demonstratedability to develop efficient and high-quality software and in-depth knowledge ofcomputer programming language such as Python, JavaScript, and C++
- Experience indeveloping and deploying end-to-end AI/ML solutions
- Understandingof data warehousing
- Willingness tolearn and continue developing knowledge in an up-and-coming field
- Excellentproblem-solving skills with the ability to thrive in a demanding fast-pacedwork environment
- Stronginterpersonal and communication skills and a willingness to collaboratecross-functionally with different teams
BENEFITS OFINTERNING FOR HONEYWELL:
Interning at Honeywell provides hands-on experience with cutting-edge technologies, professional development, and mentorship within a global organization. Interns will receive relocation benefits and short-term housing if they are 50 miles or more from their assigned work location (excluding Puerto Rico and Canada).
The application period for the intern position is estimated to be through the end of March 2025; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
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