Machine Learning Engineer Jobs

Silvus Technologies (International)

Location:
United States, Los Angeles

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

120000.00 - 160000.00 USD / Year

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Job Description:

Silvus is seeking a Machine Learning Engineer with a strong background in wireless communications to join our innovative R&D team. This role will report to the R&D Director, Machine Learning and 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.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

Additional Information:

Job Posted:
December 12, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Machine Learning Engineer