Artificial Intelligence/Machine Learning – Recent Grad/Full Time

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 and Machine Learning Engineer here at Honeywell, you will be responsible for designing and developing AI algorithms, models, and systems.

In this role, 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. We invite you to discover for yourself why a career with Honeywell is the opportunity you’ve been looking for!

Location:
This position is available in multiple locations across the United States.

Pay Range:
The annual base salary range for this position is $91,500/yr – $121,500/yr.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 have graduate from an accredited college or university between December 2024 and May 2025 and be available to begin full-time work between January 2025 – July 2025
• Must have obtained degree within 12 months of the date of hire

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:

Benefits provided may differ by role and location. Learn more at benefits.honeywell.com.

• Unlimited Vacation Plan with No Preset Maximums
• Medical/Rx Health Savings Account (HSA)
• Dental/Vision
• Short/Long-Term Disability
• Employee Assistance Program (EAP)
• 401(k) Plan
• Education Assistance

Thank you for considering Honeywell as your employer of choice. We value your interest and appreciate your patience. Due to a high volume of applications, our review process may take several months, however, we are committed to keeping you informed throughout the application process

HoneywellURNAM

ADDITIONAL INFORMATION

• JOB ID:req460305
• Category:Engineering
• Location:United States
• Exempt
•

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.