Job Description

Posted on:

October 27, 2024

Join a team recognized for leadership, innovation, and diversity. 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 and Machine Learning (AI/ML) Engineer, you will be responsible for designing and developing AI algorithms, models, and systems. You will impact critical AI projects and collaborate with cross-functional teams to integrate AI solutions into existing systems and processes. You will play a crucial role in driving the development and implementation of cutting-edge AI solutions. Your technical expertise and innovative mindset will be essential in shaping the future of AI initiatives at Honeywell. 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.

You are invited to discover for yourself why a career with Honeywell is the opportunity you've been looking for!

Location: Available in multiple locations across the United States.

Salary: The annual base salary range is $91,500/yr - $121,500/yr. This information serves as a general guideline, as Honeywell considers various factors including scope, responsibilities, work experience, education, key skills, and market considerations.

Minimum Qualifications

  • Currently pursuing a bachelor’s degree (or higher) from an accredited college or university in Engineering, Computer Science, or similar field.
  • Must have graduated or be graduating between December 2024 and May 2025 and be available for full-time work between January 2025 - July 2025.
  • Degree must be obtained within 12 months of the hire date.
  • Due to U.S. export control laws, candidates must be a U.S. citizen, permanent resident, or have asylum/refugee status in the U.S.

We Value

  • Understanding of data science, linear algebra, algorithms, and statistics.
  • Demonstrated ability to develop high-quality software and knowledge of programming languages such as Python, JavaScript, and C++.
  • Experience in developing and deploying end-to-end AI/ML solutions and understanding of data warehousing.
  • Willingness to learn and continue developing knowledge in the AI/ML field.
  • Excellent problem-solving skills and ability to thrive in a fast-paced work environment.
  • Strong interpersonal and communication skills and ability to collaborate cross-functionally.

Benefits

In addition to a competitive salary and leading-edge work, Honeywell employees receive a comprehensive benefits package including:

  • Medical, Dental, Vision, and Life Insurance (employer-subsidized)
  • Short-Term and Long-Term Disability
  • 401(k) match, Flexible Spending Accounts, and Health Savings Accounts
  • Employee Assistance Program and Educational Assistance
  • Parental Leave, Paid Time Off (vacation, personal business, sick time), and 12 Paid Holidays

For more information, visit: Benefits at Honeywell.

The application period is estimated to be 40 days from the job posting date; this may change depending on business needs and candidate availability.

Honeywell is an equal opportunity employer. All qualified applicants will be considered regardless of age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Secret insights

Honeywell Industrial Safety, with 483 employees, shows a 10% growth in engineering and a solid HR team. Focus on tech and support means great opportunities for AI and data talent.