AI - Automation engineer - 2025 Summer Internship

Key Skills

Aartificial intelligence, API, Generative AI, JavaScript, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, RESTful

Job Description

At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission -critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters.

Department Overview

Our 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 Automation team is a key part of the Platform Services group that incubates and commercializes emerging technology solutions to accelerate innovation, and enables enterprise applications assets to be unlocked via Machine Learning, Artificial Intelligence, Natural Language Processing, Secure end-to-end Authentication, and APIs. 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 Intelligent Automation space utilizing AI and ML technologies in collaboration with RPA & GenAI.

• Design and implement machine learning models on UiPath platforms
• Programming in Python, java or any programming language of choice
• Collaborate and generate AI driven solutions to enhance efficiency, such as using machine learning models and natural language processing (NLP)
• Integrate Generative AI technologies to enhance creativity and decision-making, such as using large language models (LLMs) for content generation or process optimization.

• Design, develop, test, and maintain AI/ML Solutions to address business requirements.

• Perform feature engineering activities common to machine learning

• Design and develop secure and highly performant web applications with REST-based integrations to applications.

• Develop and maintain artificial intelligence components

• Design, implement and support machine learning algorithms

• Rebuild and retrain production models regularly

• Experiment with new AI/ML services and evangelize the benefits.

• Collaborate with business leaders and IT service managers to understand the business requirements and strategy, and translate them into technology capabilities

• Maintain a level of urgency towards timelines and results.

Basic Requirements

• Must be pursuing a minimum of a Bachelor's Degree with a graduation date of December 2025 or later

Travel Requirements

None

Relocation Provided

None

Position Type

Intern

Referral Payment Plan

No

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.