R&D Intern – Machine Learning Engineer 2026
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Job Location:
Los Angeles, CA - USA
Hourly Salary:
$ 28 - 33
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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
- In-progress Bachelors degree or Masters degree in Computer Science Data Science Electrical Engineering or a closely related technical field.
- Proficiency in a major programming language for data science (e.g. Python) and familiarity with common data manipulation and ML libraries (e.g. Pandas NumPy Scikit-learn).
- Basic understanding of statistics probability and linear algebra.
- Must be a U.S. Citizen due to clients under U.S. government contracts.
- All employment is contingent upon the successful clearance of a background check and drug testing.
PREFERRED KNOWLEDGE SKILLS AND ABILITIES
- Experience with deep learning frameworks (E.g. TensorFlow PyTorch).
- Familiarity with cloud computing environments (e.g. AWS Azure GCP) and big data technologies (e.g. Spark).
- Understanding of signal processing wireless communications or related domain knowledge.
- Experience with version control systems (e.g. Git).
WORKING CONDITIONS & PHYSICAL REQUIREMENTS
- Office environment.
- Trade shows.
- Outdoor environment for demonstrations.
- Occasional exposure to heat cold and allergens while performing tests or demonstrations in the field.
- While performing the duties of this job the employee is required to do the following:
- Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
- Perform bending and reaching movements to place items on lower and higher shelves.
- Kneeling or squatting to access lower shelves.
- Must be able to lift up to 50 lbs. when receiving incoming part shipments.
- Walking/Moving in the labs.
CA Pay Range: $28.60 - $33.80 / hourly in-progress Bachelors degree
CA Pay Range: $42.00 / hourly in-progress Masters degree
Basic Requirements
- In-progress Bachelors degree or Masters degree in Computer Science Data Science Electrical Engineering or a closely related technical field.
- Must be a U.S. Citizen due to clients under U.S. government contracts.
- All employment is contingent upon the successful clearance of a background check and drug testing.
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 thisReasonable 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
About Company
Motorola Solutions, Inc., incorporated on March 9, 1973, is a provider of communication infrastructure, devices, accessories, software and services. The Company operates through two segments: Products and Services. It serves global customer base spanning federal, state, county, provin ... View more
