R&D Intern – Machine Learning Engineer - 2026

Motorola Solutions • Los Angeles, CA

1d • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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).

Responsibilities

• 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.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern