Machine Learning Engineer

Silvus Technologies is seeking a Machine Learning Engineer with a strong background in wireless communications to join our innovative R&D team. The 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.

Requirements

• 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 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.

Benefits

• Competitive salary range: $120,000—$160,000 USD.
• Benefits not explicitly mentioned.
• Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
• Silvus is proud to be an equal-opportunity employer, and we value diversity.