Machine Learning Engineer – RF & MIMO Systems (Hybrid)

Medium; California (MO); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Silvus Technologies, a Motorola Solutions subsidiary, is seeking a Machine Learning Engineer to apply ML to improve the performance of its MIMO radios and wireless networks. Based in West Los Angeles, CA, this hybrid role requires at least 3 onsite days weekly.

You will collaborate with experts in wireless communications, DSP, and embedded systems to develop ML-driven features and help design data pipelines and firmware integrations.

Qualifications

• BS in Electrical Engineering, Computer Science, or related field with 2+ years in ML or advanced degree acceptable.
• Strong foundation in supervised and unsupervised learning and statistical modeling.
• Experience with Python ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Exposure to MATLAB or C/C++ for signal processing algorithm development.
• Must be a U.S. Citizen due to government contracts.
• Background check and drug test clearance required.

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 data pipelines and infrastructure for training, testing, and validating models.
• Stay current with the latest Machine Learning research for wireless and embedded systems.
• Perform other related duties as needed.

Skills

Python ML frameworks

ML fundamentals

Data analysis

RF signal processing

Education

Bachelor of Science in Electrical Engineering, Computer Science, or related field

MS/PhD preferred in EE/CS or related field

Tools

MATLAB

C/C++

Job description

Silvus Technologies, a Motorola Solutions subsidiary, is seeking a Machine Learning Engineer to apply ML to improve the performance of its MIMO radios and wireless networks. Based in West Los Angeles, CA, this hybrid role requires at least 3 onsite days weekly.

You will collaborate with experts in wireless communications, DSP, and embedded systems to develop ML-driven features and help design data pipelines and firmware integrations.