Machine Learning Engineer

Responsibilities

• Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems
• Analyze real-world RF 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 the design of data pipelines and infrastructure for training and validation
• Participate in performance benchmarking and iterative improvement cycles

Requirements

• Bachelor of Science in Electrical Engineering, Computer Science, Computer Engineering, or related field
• Minimum 2 years of experience in machine learning (or advanced degree MS/PhD)
• Strong foundation in supervised and unsupervised learning and statistical modeling
• Experience with Python ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Exposure to MATLAB or C/C++ for signal processing algorithm development
• Must be a U.S. Citizen

Preferred Qualifications

• MS or Ph.D. in Electrical Engineering, Computer Science, or a related field
• Experience with RF signal classification, anomaly detection, or spectrum monitoring
• Familiarity with wireless communication concepts like MIMO, OFDM, or PHY/MAC layers
• Familiarity with embedded ML, real-time systems, or edge device deployment
• Background in adaptive modulation, beamforming, or cognitive radio techniques
• Experience with GPU acceleration or model optimization for constrained environments

About the Company

Silvus Technologies is a leading provider of advanced MANET and MIMO communications systems, reshaping mesh network technology for mission-critical applications in defense, law enforcement, and public safety. A wholly owned subsidiary of Motorola Solutions, Inc.