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This listing was closed on Jul 18, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Motorola Solutions. in LOS ANGELES, US. Imported listing (source: glassdoor.com). Apply on the employer's site (glassdoor.com).
Imported listing (source: glassdoor.com) · Apply on glassdoor.com
LOS ANGELES · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from glassdoor.com
Motorola Solutions seeks a Machine Learning Engineer to apply data-driven techniques to improve MIMO radios and wireless networking systems. You will research and implement ML algorithms for tasks like link adaptation and interference mitigation, analyze RF datasets, and integrate models into firmware. This hybrid role is based in West Los Angeles.
Responsibilities
- Research, design, and implement machine learning algorithms to enhance wireless communication system performance (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
- Analyze real-world radio frequency datasets to extract insights and develop predictive models.
- Develop software prototypes and integrate ML algorithms with radio firmware and networking stack.
- Collaborate with cross-functional teams to define ML use cases and evaluate model impact.
- Contribute to data pipeline and infrastructure for training, testing, and validating models.
- Participate in performance benchmarking and iterative improvement cycles.
- Stay current with latest Machine Learning research for wireless and embedded systems.
Requirements
- M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field.
Motorola Solutions
Chicago · US · 21000+ employees
Motorola Solutions, Inc. provides public safety and enterprise security technology. Its ecosystem includes video security, command center software, and mobile radio communications for protected services.
