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Honeywell

Diversified industrial conglomerate: aerospace, automation, safety

Artificial Intelligence/Machine Learning Co-op

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Spring 2027United States

About the Job

Requirements

  • Currently pursuing a bachelor's degree or higher from an accredited college or university in Engineering, Computer Science, Data Science, or a similar field.
  • Must graduate in December 2027 or later.
  • Must continue enrollment in the degree program after completing the co-op.
  • Must have a GPA of 3.0 or higher.
  • Must be authorized to work legally in the United States without current or future employment sponsorship.
  • Understanding of data science, linear algebra, algorithms, and statistics.
  • Demonstrated ability to develop efficient, high-quality software and in-depth knowledge of programming languages such as Python, JavaScript, and C++.
  • Experience developing and deploying end-to-end AI/ML solutions.
  • Understanding of data warehousing.

Responsibilities

  • Model, build, and test AI software to process large amounts of data and achieve desired results.
  • Use Python, JavaScript, and C++ to create faster, more capable AI.
  • Evaluate statistics, data, and algorithms to increase the productivity of assets, people, and processes in industrial applications and use cases.
  • Work with machine-learning and data engineers to develop integrated AI solutions.
  • Stay current on AI knowledge, trends, and regulations.
  • Collect, organize, and present progress to team leadership and stakeholders.

Desired Qualifications

  • Willingness to learn and continue developing knowledge in an emerging field.
  • Problem-solving skills and the ability to work in a demanding, fast-paced environment.
  • Interpersonal and communication skills and willingness to collaborate across teams.

About the Company

Honeywell

Diversified industrial conglomerate: aerospace, automation, safety

Honeywell operates in four main areas—aerospace, building automation, performance materials and technologies (PMT), and safety and productivity solutions (SPS). Its products couple hardware, software, and services, delivering integrated solutions for customers in design, manufacturing, installation, maintenance, and analytics. It stands out through a broad, diversified portfolio, a global presence, and the ability to connect multiple stages of the product lifecycle into one ecosystem. The company aims to help customers operate more reliably and efficiently, reduce costs and environmental impact, and grow recurring revenue by offering solutions, services, and digital platforms that link its hardware and software offerings.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1906

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