Machine Learning Engineer

Motorola Solutions

Hybrid Actively hiring Posted this week
Los Angeles, CA Posted 4 days ago $100,000–$140,000 / year
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At a glance

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TL;DR

Silvus is hiring a Machine Learning Engineer to join the R&D team under the R&D Director, Machine Learning. This role involves applying machine learning techniques to enhance the performance of Silvus’ advanced MIMO radios and wireless networking systems by developing algorithms for tasks such as link adaptation, interference mitigation, and anomaly detection. The engineer will analyze RF datasets, create predictive models, integrate ML algorithms with radio firmware, and collaborate on data pipeline design. Essential skills include experience with Python frameworks like TensorFlow and PyTorch, proficiency in MATLAB or C/C++ for signal processing, and familiarity with wireless communication concepts such as MIMO and OFDM. Ideal candidates have a background in RF signal classification and adaptive modulation techniques, along with expertise in deploying ML models on edge devices.

Skills

Python TensorFlow PyTorch scikit-learn MATLAB C++ wireless communication concepts MIMO RF signal classification anomaly detection spectrum monitoring GPU acceleration embedded ML real-time systems adaptive modulation beamforming cognitive radio techniques 3GPP IEEE 802.11/15 military waveforms

What you'll do

  • Research, design, and implement machine learning algorithms to enhance wireless communication performance.
  • Analyze RF datasets to develop predictive models for real-world applications.
  • Integrate ML algorithms with radio firmware and networking stack in Silvus systems.
  • Define ML use cases and evaluate the impact of deployed models on system performance.
  • Contribute to data pipeline design for training, testing, and validating machine learning models.

What we're looking for

  • Bachelor’s degree in a relevant field plus 2 years of machine learning experience or an advanced degree.
  • Strong background in supervised and unsupervised learning, statistical modeling.
  • Experience with Python ML frameworks like TensorFlow, PyTorch, scikit-learn.
  • Proficiency in MATLAB or C/C++ for signal processing algorithm development.
  • Familiarity with wireless communication concepts (PHY/MAC layers, MIMO, OFDM).
  • Demonstrated experience with RF signal classification and anomaly detection.
  • Experience working with wireless standards such as 3GPP, IEEE 802.11/15.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 94 open roles on FindRole.

Listed pay typically runs $110,000–$150,000 across 81 roles with salary data.

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