Silvus Technologies · 1 day ago
Machine Learning Engineer
Los Angeles, CA
Full-time
Hybrid
Mid Level
$120K/yr - $160K/yr
3+ years expSilvus Technologies is dedicated to connecting those who keep us safe through advanced Mobile Ad-hoc Network radios. They are seeking a Machine Learning Engineer to apply machine learning and data-driven techniques to improve the performance of their MIMO radios and wireless networking systems, collaborating with experts in various fields to solve real-world problems in dynamic RF environments.
Information TechnologyRoboticsTelecommunicationsWired TelecommunicationsWireless
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Qualification
Required
M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field
Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD
Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling
Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.)
Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs)
Proficiency in MATLAB or C/C++ for signal processing algorithm development
Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire
Must be a U.S. Citizen due to clients under U.S. government contracts
Preferred
Excellent communication and collaboration skills
Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring
Familiarity with embedded ML, real-time systems, or deploying ML on edge devices
Background in adaptive modulation, beamforming, or cognitive radio techniques
Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms
Experience with GPU acceleration or model optimization for constrained environments
Company
Silvus Technologies
Silvus Technologies develops advanced wireless MIMO mesh networks for military, public safety, and broadcast communications.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2025-05-27Acquired
Leadership Team
Babak Daneshrad
CEO
Recent News
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