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Artificial Intelligence/Machine Learning - Summer 2025 Intern (US Person Required)

Remote: 
Full Remote
Contract: 
Salary: 
48 - 74K yearly
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Pursuing bachelor's degree in related field, Must graduate December 2025 or later, Validated academic excellence (3.0 GPA and higher), Understanding of data science and algorithms, Proficient in Python, JavaScript, C++.

Key responsabilities:

  • Model, build, and test AI software
  • Evaluate statistics and data for productivity
  • Collaborate with machine-learning team
  • Stay current on AI knowledge and trends
  • Present progress to leadership and stakeholders
HONEYWELL logo
HONEYWELL Electronic Equipment, Instruments & Components Large https://www.honeywell.com/
10001 Employees
HQ: Charlotte
See more HONEYWELL offers

Job description

Join a team recognized for leadership, innovation and diversity

The Future Is What You Make It.

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isn’t just about developing cool things. That’s why our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

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 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

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

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.

Minimum Qualifications

  • Must be currently pursuing a bachelor’s degree (or higher) from an accredited college or university in Engineering, Computer Science or 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 and in-depth knowledge of computer programming language such as Python, JavaScript, and C++
  • 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

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.

HoneywellURNAM

Additional Information

  • JOB ID: req460301
  • Category: Engineering
  • Location: United States
  • Nonexempt
  • Due to US export control laws, must be a US citizen, permanent resident or have protected status.

Early Career (ALL)

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.

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Electronic Equipment, Instruments & Components
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Verbal Communication Skills
  • Willingness To Learn
  • Social Skills

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