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:
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
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.
