GenAI & Machine Learning - 2027 Summer Internship (Chicago Hybrid)

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Are you passionate about the future of Artificial Intelligence and Large Language Models? We are looking for a curious, hands-on GenAI & ML Intern to join our team for Summer 2027. This position is tailored for early-college students who want to bridge academic learning with real-world technical execution.

In this role, you will build functional AI prototypes, experiment with cutting-edge tools, and learn how enterprise AI applications are designed and deployed. You will collaborate closely with engineering team members while taking ownership of research and development projects.

• →AI Agent Development: Experiment with agentic frameworks and tools to design, build, and test simple autonomous AI agents capable of performing multi-step tasks and workflows.
• →Rapid Prototyping: Build functional AI/ML prototypes and Proof-of-Concept (PoC) applications using modern GenAI frameworks and APIs to showcase innovative features to stakeholders.
• →Technology Research: Test, evaluate, and benchmark emerging AI/ML tools, platforms, and protocols to identify opportunities for technological advancement.
• →Data Engineering & Analytics: Process, clean, and manipulate large datasets using data-oriented programming languages, and create intuitive visualizations to report findings.
• →API & Cloud Integration: Utilize enterprise cloud services (AWS, Azure, or GCP) and standard AI APIs to build scalable solutions that integrate into broader workflows.
• →Solution Support: Assist in troubleshooting, testing, and optimizing existing AI use cases to ensure stability and performance.
• →Technical Documentation: Help translate complex AI concepts into accessible language and documentation for cross-functional teams and internal users.

• Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field.
• Experience with Python or R for data manipulation, analytics, or machine learning (via coursework, personal projects, or hackathons).
• Familiarity with standard data/ML tools (e.g., Pandas, NumPy, Scikit-learn) or modern GenAI/Agent tools (e.g., OpenAI API, LangChain, CrewAI, AutoGen, or Hugging Face).
• Strong analytical, problem-solving, and communication skills.
• Eagerness to learn cloud architectures and enterprise software deployment practices.

Note: Candidate must be in the Chicago office 2 days a week.

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• High School Diploma is required
• Must be pursuing a Bachelor's Degree with a graduation date of May 2029 or later
• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.