채용
Required Skills
Python
PyTorch
TensorFlow
Machine Learning
As an AI Intern here at Honeywell, you will gain hands-on experience in the design and development of artificial intelligence algorithms and models. This internship will provide you with the opportunity to work alongside experienced professionals, contributing to innovative projects that shape the future of AI technology.
You will report directly to our AI Team Lead and you’ll work out of our Krakow, Poland location on a Hybrid work schedule.
In this role, you will impact the development of cutting-edge AI solutions, assisting in the creation of algorithms that enhance Honeywell's product offerings and contribute to our commitment to technological excellence.
YOU MUST HAVE
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or a related field.
- Experience in AI-related projects or coursework.
- Strong analytical skills and a foundational understanding of machine learning concepts.
- Proficiency in programming languages such as Python.
- Familiarity with AI frameworks like Tensor Flow or Py Torch.
WE VALUE
- Experience in data analysis and model development.
- Passion for technology and eagerness to learn about AI advancements.
OUR OFFER
- Professional-grade technology equipment and tools
- Honeywell provides top-of-the-line superior gear and tools that will empower you to solve any problem with ease and efficiency
- Competitive Salary regularly increased based on your performance
- 3 plus 2 flexible work arrangement & Flexible working hours
- Monthly meal allowance
- In-house and external learning platforms supporting development opportunities
- Generali Insurance (Accident Insurance)
- Comprehensive induction, ongoing training and development to set you up for success
- Work experience opportunities to help you grow your career with us
- Global employee networks to help you connect and grow
- Employee Engagement activities
- Assistance with relocation to Krakow where applicable (International & Domestic)
- Employee Assistance Program
- Free and confidential service to help with any difficulties regarding work, life and personal or family matters
- Access Integrity line – Any workplace issues or violations that need to be raised in good faith, can be communicated in a safe, private and confidential environment
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Join us now and be part of a global team of thinkers, innovators, dreamers, and doers who make the things that make the future!
#The Future Is
What WeMake It:
#Future Shaper
KEY RESPONSIBILITIES
- Strong analytical skills and a foundational understanding of machine learning concepts.
- Proficiency in programming languages such as Python.
- Familiarity with AI frameworks like Tensor Flow or Py Torch.
- Experience integrating LLMs into applications, including basic prompt design and agent‑like workflows.
- Familiarity with RAG techniques for grounding model outputs in relevant data.
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About Honeywell

Honeywell
PublicThe future is what we make it.
10000+
Employees
Charlotte
Headquarters
Reviews
3.2
4 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.0
Career
3.0
Management
2.5
Pros
Good team and helpful colleagues
Fair pay and good benefits
Training and resources available
Cons
Limited job progression
Old boys club culture
High expectations with unclear answers
Salary Ranges
1,391 data points
Mid/L4
Senior/L5
VP
Director
Mid/L4 · Project Manager
254 reports
$126,088
total / year
Base
$117,535
Stock
-
Bonus
$8,553
$86,649
$184,765
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Panel Interview
6
Online Assessment
7
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Culture Fit
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