Machine Learning Engineer

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re 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 that’s 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 is a leading provider of advanced MANET and MIMO communications systems, reshaping mesh network technology for mission‑critical applications on the ground, in the air and at sea.

Its battle‑proven StreamCaster family of MANET radios and proprietary MN‑MIMO waveform provide the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments. Silvus is a wholly owned subsidiary of Motorola Solutions, Inc. Job Description Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of “Keeping Our Heroes Connected”?

Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying machine learning and data‑driven techniques to improve the performance, efficiency, and adaptability of Silvus’ advanced MIMO radios and wireless networking systems. This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML‑driven features that solve real‑world problems in dynamic and challenging RF environments.

The position is based at Silvus Technologies’ headquarters in West Los Angeles, CA, on a hybrid schedule with a minimum of three days onsite per week (Mon, Wed, Thu). Role and Responsibilities Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing). Analyze real‑world RF datasets to extract insights and develop predictive models.

Develop software prototypes and integrate ML algorithms with Silvus’ radio firmware and networking stack. Collaborate with cross‑functional teams to define ML use cases and evaluate the impact of deployed models. Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.

Participate in performance benchmarking and iterative improvement cycles. Stay current with the latest Machine Learning research for wireless and embedded systems. Perform other related duties as directed.

Required Qualifications Bachelor of Science in Electrical Engineering, Computer Science, Computer Engineering or related field plus a minimum of two years of experience in machine learning with demonstrated application to real‑world problems. Strong foundation in supervised and unsupervised learning and statistical modeling. Experience with Python machine learning frameworks such as TensorFlow, PyTorch, scikit‑learn, etc.

Exposure to MATLAB or C/C++ for signal processing algorithm development. Must be a U.S. citizen due to client contracts with the U.S. government. All employment contingent upon successful clearance of a background check and drug test.

Preferred Knowledge, Skills, and Abilities M.S. or Ph.D. in Electrical Engineering, Computer Science or related field. Experience with RF signal classification, anomaly detection, or spectrum monitoring. Proficiency in MATLAB or C/C++ for signal processing algorithm development.

Familiarity with wireless communication concepts such as PHY/MAC layers, MIMO, OFDM, spectrum access. Experience with embedded ML, real‑time systems, or deploying ML on edge devices. Background in adaptive modulation, beamforming, or cognitive radio techniques.

Experience with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms. Experience with GPU acceleration or model optimization for constrained environments. Excellent communication and collaboration skills.

Working Conditions and Physical Requirements Office environment. Outdoor environment for demos. Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.

Required to lift equipment up to 20 lbs, bend, and reach to place items on shelves. Compensation $100,000 – $140,000 per year. Benefits Incentive bonus plans.

Medical, dental, vision benefits. 401(k) with company match. 10 paid holidays. Generous paid time off packages. Employee stock purchase plan.

Paid parental & family leave. Travel Requirements Under 10% travel. Relocation Provided Domestic relocation assistance.

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. Accommodations 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. #J-18808-Ljbffr