MachineLearningEngineer

THE COMPANY Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is 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 provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments. With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data. Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc. Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of “Keeping Our Heroes Connected”? THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R no experience required with an advance degree (MS or PhD) Strong foundation in supervised and unsupervised learning and statistical modeling. Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.). Exposure to MATLAB or C/C++ for signal processing algorithm development. 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 test. PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES MS. or Ph. D. in Electrical Engineering, Computer Science, or a related field. Demonstrated 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 (e.g., PHY/MAC layers, MIMO, OFDM, spe