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At UL, we know why we come to work.

Thousands of us around the world wake up every day with a common purpose: to make the world a safer, more secure and sustainable place. Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centered on integrity, collaboration, inclusion and excellence. UL stands at the forefront of technological advancement, and we are continually challenged to find new ways to foster innovation and positive change. Satisfying? Yes. Exciting? Absolutely!

Position Summary:

We are seeking a motivated Applied AI Intern to join our team. We believe in using AI not just for research, but to make our daily operations faster, smarter, and more efficient. In this role, you will bridge the gap between AI research and practical application. You will work on developing machine learning models to identify bottlenecks, automate tasks, and drive significant improvements in our business processes.

• Design and refine prompts to automatically extract and maintain regulatory attributes.

• Leverage Microsoft AI Foundry and related AI tools to support experimentation, content creation, and requirement definition for future production development.

• Analyze existing applications/workflows and processes to identify inefficiencies, patterns, and opportunities for automation in workflows.

• Assess data quality, availability and governance constraints prior to developing ML models

• Propose AI-driven features and solutions that can deliver measurable business value

• Create and connect AI models to existing software applications (if applicable)

• Maintain clear documentation of AI experiments and process improvement results.

• Work with cross-functional teams to understand business requirements and translate them into technical solutions.

What you will Learn:

• Hands-on experience applying AI to real business problems.

• See how work flows across teams and systems and learn how to spot pain points and opportunities for improvement.

• Exposure to real company data, systems and cross-functional collaboration

• Experience turning ideas into usable solutions that would influence operational decision

• Understanding of responsible and ethical AI use

• Currently pursuing a Bachelor’s/Master’s in Computer Science, AI/ML, Data Science, Statistics, Engineering or a related field.

• Experience or coursework in prompt engineering

• Familiarity with Visual Studio and GitHub for basic development workflows.

• Familiarity with Microsoft AI Foundry for experimenting with, evaluating, and applying AI models in business use cases is a plus.

• Experience with data visualization or analysis tools (Power BI, excel, etc)

• Understanding of process mapping or Industrial Engineering concepts

• Strong analytical, problem solving and communication skills; willingness to adapt in a fast-paced and dynamic environment.

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

UL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that:

Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.