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GenAI & ML Engineer - 2026 Summer Internship (Chicago Hybrid )

Motorola Solutions
United States, Illinois, Chicago
500 West Monroe Street (Show on map)
Sep 16, 2025
Company Overview

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. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that's critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Department OverviewOur IT organization has a critical role in driving extraordinary business results. Through a strong partnership with other areas of our business, we bring innovative thinking to every conversation and deliver with integrity. We're looking for people who bring great ideas and who make our partners' ideas better. Intellectually curious advisors (not order takers) who focus on outcomes to creatively solve business problems. People who not only embrace change, but who accelerate it. Job Description

The Emerging Technology and ML Ops team is a key part of the Architecture and Technology Solutions group, which incubates and commercializes emerging technology solutions to accelerate innovation, and enables Enterprise applications assets to be unlocked via GenAI, Machine Learning, APIs & Data Science. As a member of this team, you will be part of a rapid development team. You will incubate and develop functional prototypes to showcase capabilities to customers in the AI/ML space. You have a passion for creating world-class web and/or mobile user experiences

Job Duties:

  • Design and implement machine learning models for classification, regression, and other predictive tasks.

  • Develop and prototype generative AI solutions, including Retrieval-Augmented Generation (RAG) and autonomous agents.

  • Preprocess and analyze large-scale datasets to prepare them for model training and evaluation.

  • Collaborate with mentors and team members to debug, optimize, and deploy models.

  • Research the latest advancements in GenAI and ML to inform our technical strategy.

  • Document your work and present your findings to the team.

Requirements:

  • Candidate must be pursuing a Bachelor's Degree or Master's Degree in one of the following degree programs: Computer Science, Software Engineering, Computer Engineering, Information Technology or Information Systems.

  • Currently pursuing a Bachelor's or Master's degree with a graduation date on or after December 2026.

  • Strong proficiency in Python and should be comfortable with libraries like NumPy, Pandas, and Scikit-learn etc.

  • Demonstrated experience with machine learning techniques, including a solid understanding of concepts like classification, regression, and algorithms such as Random Forest, Gradient Boosting, or similar.

  • Understanding of fundamental GenAI concepts, including large language models (LLMs), transformers, and prompt engineering.

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

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Basic Requirements
  • High School Diploma is required

  • Must be pursuing a Bachelor's Degree with a graduation date of May 2028 or later

  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Travel RequirementsNone Relocation ProvidedNone Position TypeIntern

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 thisReasonable Accommodations Formso we can assist you.

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