R&D Intern – Machine Learning Engineer - 2026

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 Bachelor’s degree or Master’s 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 Bachelor's degree]

CA Pay Range: $42.00 / hourly [in-progress Master's degree]

Basic Requirements

• In-progress Bachelor’s degree or Master’s 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 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.