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 globalteam of thinkers, innovators, dreamers, and doers who make the things that makethe future. That means changing the way we fly, fueling jets in an eco-friendlyway, keeping buildings smart and safe and even making it possible to breathe onMars.

Working at Honeywellisn't just about developing cool things. That's why our employees enjoy accessto dynamic career opportunities across different fields and industries.

Are you ready to helpus make the future?
ABOUT THE ROLE:
Join a team that designs, develops, and integrates highlycomplex software applications within Honeywell. As an Artificial Intelligenceand Machine Learning Engineer here at Honeywell, you will be responsible fordesigning and developing AI algorithms, models, and systems.

In this role, you will impact critical AI projects andcollaborate with cross-functional teams to integrate AI solutions into existingsystems and processes. You will play a crucial role in driving the developmentand implementation of cutting-edge AI solutions. Your technical expertise andinnovative mindset will be essential in shaping the future of AI initiatives atHoneywell.

Use your skill set to provide value added software featuresto our products for our customers. Accelerate innovation and growth, teamingwith the world's most talented engineers. We invite you to discover foryourself why a career with Honeywell is the opportunity you've been lookingfor!

Location: This position is available in multiple locationsacross 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 generalguideline. 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 asmarket 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:

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

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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.