R&D Intern – Machine Learning Engineer 2026

Company Overview

At Motorola Solutions we believe that everything starts with our people. Were a global close-knit community united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people property and places. Our solutions foster the collaboration thats critical for safer communities safer schools safer hospitals safer businesses and ultimately safer nations. Connect with a career that matters and help us build a safer future.

Department Overview

Silvus Technologies was acquired by Motorola Solutions in 2025 and is now part of its ecosystem of safety and security technologies.

With deep roots in DARPA research Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight Silvus radios form a self-healing self-forming mesh network enabling secure and reliable connectivity including video and high-bandwidth data.

Job Description

THE OPPORTUNITY

The Intern Machine Learning Engineer reports to the R&D Director on the Machine Learning team with dotted line reporting to the R&D Engineer. The successful individual in this role will learn from and work with experts in wireless communications DSP networking and embedded systems to help solve real-world problems in dynamic and challenging RF environments.

This internship is part-time on-site Monday through Friday at Silvus Technologies HQ in the heart of vibrant West LA.

The following is a list of at least some of the current essential functions of this internship opportunity.

ROLE RESPONSIBILITIES AND LEARNING OUTCOMES

• Develop train and evaluate machine learning and deep learning models for various applications related to wireless communication and signal processing.
• Design and implement data processing and feature engineering pipelines to prepare complex radio and sensor data for model training.
• Perform exploratory data analysis (EDA) and statistical modeling to uncover insights and patterns in large datasets.
• Collaborate with the R&D and Systems Engineering teams to integrate ML solutions into hardware and software prototypes.
• Write custom scripts and tolls for automated data capture analysis and visualization.
• Participate in the generation of technical documentation and presentations outlining research and development findings.
• Opportunities to further engage learn and develop skills as projects progress.

REQUIRED QUALIFICATIONS

PREFERRED KNOWLEDGE SKILLS AND ABILITIES

WORKING CONDITIONS & PHYSICAL REQUIREMENTS

CA Pay Range : $28.60 - $33.80 / hourly in-progress Bachelors degree

CA Pay Range : $42.00 / hourly in-progress Masters degree

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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.

Were 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 Formso we can assist you.

Required Experience :

Intern

Key Skills

Laboratory Experience,Vendor Management,Design Controls,C / C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development

Employment Type : Part-Time

Experience : years

Vacancy : 1

Hourly Salary Salary : 28 - 33