GenAI & Machine Learning, Internship

Motorola Solutions

. Experiment with agentic frameworks and tools to design, build, and test simple autonomous AI agents capable of performing multi-step tasks and workflows .

Posted 10/7/2026internshipChicago • Illinois • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in building and testing autonomous AI agents and functional AI/ML prototypes using modern frameworks and APIs. Capable of processing large datasets and creating visualizations while collaborating with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingData Manipulation with PandasMachine Learning with Scikit-learnCloud Platforms (AWS, Azure, GCP)OpenAI API Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data-Oriented ProgrammingAI/ML PrototypingDataset ProcessingAnalytical SkillsProblem-Solving

Soft Skills

Communication SkillsEagerness to Learn

Tools & Technologies

NumPyLangChainCrewAIAutoGenHugging Face

Industry Keywords

Artificial IntelligenceMachine LearningCloud ArchitectureEnterprise Software DeploymentCross-Functional Collaboration

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonScikit-Learn

About the role

Key responsibilities & impact

Experiment with agentic frameworks and tools to design, build, and test simple autonomous AI agents capable of performing multi-step tasks and workflows
Build functional AI/ML prototypes and proof-of-concept applications using modern GenAI frameworks and APIs
Test, evaluate, and benchmark emerging AI/ML tools, platforms, and protocols
Process, clean, and manipulate large datasets using data-oriented programming languages
Create intuitive visualizations to report findings
Utilize AWS, Azure, or GCP and standard AI APIs to build scalable solutions integrated into broader workflows
Assist in troubleshooting, testing, and optimizing existing AI use cases
Translate complex AI concepts into accessible language and documentation for cross-functional teams and internal users
Collaborate closely with engineering team members while taking ownership of research and development projects

Requirements

What you’ll need

Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field
High School Diploma is required
Must be pursuing a Bachelor's Degree with a graduation date of May 2029 or later
Experience with Python or R for data manipulation, analytics, or machine learning via coursework, personal projects, or hackathons
Familiarity with Pandas, NumPy, Scikit-learn, 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
Legal authorization to work in the U.S. indefinitely is required
Employer work permit sponsorship is not available for this position

Benefits

Comp & perks

Internship position for Summer 2027
Hybrid work arrangement
Opportunity to collaborate closely with engineering team members
Hands-on experience with enterprise AI applications and deployment
No travel required
No relocation provided