Artificial Intelligence/Machine Learning - Recent Grad/Full\nTime
When you join Honeywell, you become a member of our global\nteam of thinkers, innovators, dreamers, and doers who make the things that make\nthe future. That means changing the way we fly, fueling jets in an eco-friendly\nway, keeping buildings smart and safe and even making it possible to breathe on\nMars.
Working at Honeywell\nisn’t just about developing cool things. That’s why our employees enjoy access\nto dynamic career opportunities across different fields and industries.
Are you ready to help\nus make the future?
ABOUT THE ROLE:
Join a team that designs, develops, and integrates highly\ncomplex software applications within Honeywell. As an Artificial Intelligence\nand Machine Learning Engineer here at Honeywell, you will be responsible for\ndesigning and developing AI algorithms, models, and systems.
In this role, you will impact critical AI projects and\ncollaborate with cross-functional teams to integrate AI solutions into existing\nsystems and processes. You will play a crucial role in driving the development\nand implementation of cutting-edge AI solutions. Your technical expertise and\ninnovative mindset will be essential in shaping the future of AI initiatives at\nHoneywell.
Use your skill set to provide value added software features\nto our products for our customers. Accelerate innovation and growth, teaming\nwith the world's most talented engineers. We invite you to discover for\nyourself why a career with Honeywell is the opportunity you've been looking\nfor!
Location: This position is available in multiple locations\nacross the United States.
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\nguideline. Honeywell considers various factors when extending an offer,\nincluding but not limited to the scope and responsibilities of the position,\nthe candidate's work experience, education and training, key skills, as well as\nmarket 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 fieldMust have graduated or graduating 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 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 environmentStrong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teamsBENEFITS:
Benefits provided may differ by role and location. Learn more at benefits.honeywell.com.
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 InformationJOB ID: req460306Category: EngineeringLocation: United StatesExemptDue 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.