GenAI & Machine Learning 2027 Summer Internship

Motorola Solutions; Chicago (IL); On-site; USD 27,552,000 - 48,216,000; Full time

Benefits offered by this job

Flexible work models

Paid time off

Parental leave

Health care benefits

Wellness resources

Employee assistance

Rotation programs

Mentor relationships

Learning opportunities

Retirement benefits

Stock plans

Job summary

Motorola Solutions is seeking a GenAI & ML Intern for Summer 2027 in Chicago. You will build AI prototypes, experiment with GenAI tools, and learn how enterprise AI applications are designed and deployed.

You will work with engineering teams to own research projects, develop AI agents, prototype PoCs, and benchmark new tools. Strong Python/R skills and data manipulation experience are required.

Qualifications

• Strong analytical, problem-solving, and communication skills.
• Must be pursuing a Bachelor’s Degree with a graduation date of May 2029 or later.
• Currently pursuing a Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related quantitative field.
• High School Diploma is required.

Responsibilities

• Build functional AI prototypes and PoCs; experiment with GenAI frameworks.
• Collaborate with engineering to design, test, and deploy enterprise AI applications.
• Develop AI agents to perform multi-step tasks and workflows.
• Process and visualize large datasets; report findings clearly.
• Assist in cloud integration and use of enterprise cloud services.

Skills

Analytical skills

Problem-solving

Communication skills

Education

Bachelor’s degree in progress

Currently pursuing a Bachelor’s degree in CS/DS/AI/SWE

High School Diploma is required

Tools

Python

R

Pandas

NumPy

Scikit-learn

OpenAI API

LangChain

CrewAI

AutoGen

Hugging Face

Job description

• 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

Benefits

• Flexible work models
• Paid time off
• Paid parental and family leave
• Health care benefits
• Global wellness resources
• Employee assistance programs
• Rotation programs
• Mentor relationships
• Learning and development opportunities
• Retirement benefits
• Employee bonuses
• Stock grants & employee stock purchase plans

Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this positionStrong analytical, problem-solving, and communication skillsMust be pursuing a Bachelor’s Degree with a graduation date of May 2029 or laterCurrently pursuing a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative fieldEagerness to learn cloud architectures and enterprise software deployment practicesExperience 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)High School Diploma is required