Machine Learning/AI Intern (Summer 2026 Internship Program)

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 Overview

As a core component of Centralized Managed Support Operations (CMSO), the Design & Tools team drives strategic value by creating and maintaining cutting-edge service design and technology solutions. Our mission is to equip and optimize CMSO's and overall Global Services capabilities, ensuring they consistently deliver superior customer support.

Job Description

We're looking for a passionate and talented Machine Learning/AI Intern to join our Design and Tools team. This role will focus on exploring, developing, and deploying AI/ML models that enhance the functionality and user experience of our front office product portfolio. The ideal candidate will bridge the gap between cutting-edge ML research and practical, end user-facing use cases.

Key Responsibilities

• Model Development: Research, design, and implement proof-of-concept Machine Learning models (e.g., classification, prediction, or personalization algorithms) relevant to our tools/design workflow.

• Data Preparation: Assist in cleaning, transforming, and analyzing internal data sets to be used for model training and validation.

• Performance Optimization: Evaluate and optimize model performance, size, and inference speed for mobile environments, balancing accuracy with resource constraints.

• Collaboration: Work closely with software engineers, end users, and product managers to understand requirements and integrate ML features seamlessly into the user experience.

Technical Skills:

• Programming Proficiency: Strong proficiency in Python and familiarity with standard ML libraries (TensorFlow, PyTorch, scikit-learn).

• ML/AI Fundamentals: Solid understanding of core Machine Learning concepts, algorithms, and model evaluation metrics.

• Data Analysis: Experience with data manipulation using tools like Pandas and basic SQL.

Non-Technical Qualifications:

• Currently pursuing a degree (Bachelor's or Master's) in Computer Science, Data Science, Electrical Engineering, or a related technical field.

• Excellent problem-solving skills and intellectual curiosity.

• Strong verbal and written communication skills to articulate technical concepts to non-technical stakeholders.

Target Hourly Base Salary Range: $23.80 - $28.20 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

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Basic Requirements

Travel Requirements

Under 10%

Relocation Provided

None

Position Type

Intern

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.