Artificial Intelligence/Machine Learning - Recent Grad/Full Time (US Person Required)

Join a team recognized for leadership, innovation and diversityArtificial Intelligence/Machine Learning - Recent Grad/FullTimeWhen 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.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 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 environment• Strong 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.• 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 AssistanceThank 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 processHoneywellURNAMAdditional Information• Category: Engineering• Location: USA• Exempt• Due to US export control laws, must be a US citizen, permanent resident or have protected status.Early Career (ALL)